Qureos Mentor

Otsuka

<div>The Senior Manager of Data and AI Engineering will focus on building a robust data ecosystem to accelerate availability of data for the development of AI and data science applications. This role will be accountable for architecting, developing, and maintaining scalable data pipelines and platforms, enabling the implementation of AI and Gen AI use cases from rapid prototypes to qualified or validated production application. The ideal candidate has deep expertise in data engineering, understands AI/ML technologies, and possesses a strong grasp of the pharmaceutical R&amp;D data and its lifecycle, including Real-World Data (RWD) analytics, executing aspects of real world studies on external data, tokenization, etc.<br>
<br>
The Senior Manager will work with other engineering and AI team members in designing, developing, and implementing robust data layers that support data scientists and key advanced responsible analytics/AI/ML and statistical business solutions. The role will partner with cross-functional data scientists and digital leaders to ensure efficient and reliable data flow across the organization. The role will also partner with IT platform engineers, members of the Data and AI platform, IT infrastructure and other technical teams in Otsuka to both leverage foundational AI and systems capabilities as well as share inputs on platform and infrastructures and ensuring adequate support from IT.<div></div><div>
Job Description</div><ul><li>
Develop and deliver data and AI engineering solutions to support data scientists and analytics/AI solutions, ensuring data efficient and scalable data representation, quality, reliability, and efficiency by providing deeper cross applications</li><li>
Act as data engineering tech lead for projects and develop best practices, standards, and documentation to ensure consistency and scalability solution architecture</li><li>
Provide technical input on the AI ecosystem and architecture including platform evolution, and new capability development</li><li>
Act as a subject matter expert for data engineering on cross functional teams in bespoke organizational initiatives by providing thought leadership and execution support for data engineering needs</li><li>
Guide developers and provide oversight on concepts such as data modeling, database architecture, data pipeline management, data and AI ops and automation, tools, and best practices</li><li>
Direct data and AI engineering research to advance design and development capabilities; rapidly experiment to provide insights into feasibility of solutions</li><li>
Collaborate with stakeholders to understand data requirements and address them with data solutions</li><li>
Demonstrate a proactive approach to identifying and resolving potential system issues both during development and production support of data analytics and AI applications</li><li>
Ensure development of reusable data and AI components and promote their use across the data and AI ecosystem, business functions (e.g., clinical operations, asset management, clinical development, quality, safety, regulatory, RWD, Enterprise functions, etc.) and promote innovative, scalable data and AI engineering approaches to accelerate data science and AI work</li><li>
Drive the design, development, and maintenance of the core R&amp;D data layer and engineer data to be readily available to for AI applications</li><li>
Implement robust, scalable ETL/ELT pipelines for ingesting, processing, and transforming, monitoring diverse scientific and clinical datasets and AI applications.</li><li>
Support best practices for data engineering, responsible AI, security and privacy by design, including data governance, lineage, and quality</li><li>
Collaborate with internal data and AI scientist, IT, cloud architects to ensure that data infrastructure and technical solutions are aligned with enterprise architecture and compliance needs</li></ul><div></div><div>
AI and Gen AI implementation</div><ul><li>
Lead the industrialization of AI, Gen AI, and data science applications, moving prototypes and proofs-of-concept to full production systems.</li><li>
Develop and implement scalable engineering solutions, data repositories, data representations, and knowledge engineering to support the data and AI strategy execution and enable efficient model training, validation, and deployment of AI/ML models.</li><li>
Collaborate with data scientists and machine learning scientists to build robust engineering frameworks that enable Retrieval-Augmented Generation (RAG), Agentic architectures, and other Gen AI workflows in R&amp;D</li><li>
Introduce new AI/ML and Gen AI technologies into existing drug development processes, identifying opportunities for innovation and automation.</li></ul><div></div><div>
RWD and advanced analytics</div><ul><li>
Lead the development of analytical platforms and data products that leverage Real-World Data (RWD) for advanced analytics in clinical development. Such data may include, EHRs, claims, biomedical images, omics data, and data from medical devices, sensors, and digital apps</li><li>
Support data tokenization, linking and data privacy efforts</li><li>
Build systems to analyze post-market surveillance data, patient registries, and other external data sources to generate insights on drug performance</li><li>
Structure and curate complex datasets, including multi-modal data, to support predictive modeling and personalized medicine initiatives.</li></ul><div></div><div>
Regulatory compliance</div><div><ul><li>
Champion engineering best practices, review AI solution architectures, and data &amp; AI observability to ensure technical consistency, scalability, and effective governance of AI engineering across the portfolio of oversight.</li><li>
Architect and scale MLOps practices for in house applications to support the entire model lifecycle&mdash;from experimentation and deployment to monitoring and retraining&mdash;while ensuring automation and reproducibility.</li><li>
Drive awareness of AI/ML applications and the importance of strong Data and AI engineering foundation across the organization</li><li>
Provide technical and engineering support for Data and Information Governance, quality, and FAIR data</li></ul></div><ul><li>
Ensure that all data and AI solutions comply with pharmaceutical industry regulations, including HIPAA, GxP, and other relevant standards.</li><li>
Support data engineering efforts to establish data governance and audit trails to maintain data integrity and support inspection readiness.</li></ul><div></div><div><div>
Team and Organizational Leadership</div><ul><li>
Foster a culture of innovation, continuous learning, and accountability within and across team.</li><li>
Collaborate with Legal and Compliance teams to embed auditability and traceability into AI and Gen AI workflows.</li><li>
Serve as AI and Data engineering expert for internal portfolio as well as organization wide initiatives, reviews, and AI committees.</li></ul></div><div></div><div><div>
Cross-functional Collaboration</div></div><div><ul><li>
Build strong, trusted relationships with key stakeholders across R&amp;D, Scientific and Operations AI Data Science teams, other DnA pillars, IT, and external partners.</li><li>
Partner with R&amp;D teams to translate complex scientific challenges into clear, executable data and AI projects.</li><li>
Communicate strategy, progress, and outcomes to diverse stakeholders, including technical teams and executive leadership.</li><li>
Lead as subject matter expert, while communicating, and collaborating effectively to ensure portfolio success.</li></ul></div><div></div><div>
Qualifications/ Required</div><div>
Knowledge/ Experience and Skills:</div><div><ul><li>
Expertise in real-world data assets and using them to generate scientific evidence and guide operational effectiveness and efficiencies.</li><li>
Deep expertise across data engineering, representation, Gen AI, AI and machine learning techniques and experience in architecting and delivering AI/ML use cases.</li></ul></div><ul><li>
Masters degree in Data Science, Computer Engineering, Computer Science, Physics, Statistics, Information Systems, or a related discipline with focus on advanced and modern Data Science, including the use of AI and machine learning. PhD is preferred.</li><li>
Experience in software/product engineering. Deep understanding of AI and Machine Learning and its applications in Pharma is required.</li><li>
Experience with data science enabling technology, such as Dataiku Data Science Studio, AWS SageMaker or other data science platforms</li><li>
Creative problem solving using responsible use of AI and other technologies.</li><li>
Excellent communication and stakeholder management skills, with the ability to convey complex technical concepts to non-technical audiences.</li><li>
Familiarity with machine learning and AI technologies and their integration with data engineering pipelines</li><li>
Strong understanding of Software Development Life Cycle (SDLC) and data science development lifecycle (CRISP)</li><li>
Highly self-motivated to deliver both independently and with strong team collaboration</li><li>
Experience in software/product engineering</li><li>
Experience with data science enabling technology, such as Dataiku Data Science Studio, AWS SageMaker or other data science platforms</li><li>
Experience in architecting, building and maintaining large-scale data and AI solutions in a scientific, regulated, or research-heavy environment.</li><li>
Strong experience working within the pharmaceutical, biotech, or life sciences industry, particularly withis highly desirable.</li><li>
Proven track record of implementing and deploying Gen AI and large language model (LLM) applications in production environments.</li></ul><div><ul><li>
Expertise in real-world data assets and using them to generate scientific evidence and guide operational effectiveness and efficiencies.</li><li>
Deep expertise across data engineering, representation, Gen AI, AI and machine learning techniques and experience in architecting and delivering AI/ML use cases.</li><li>
Strong internal and cross-functional collaboration, project management skills with a focus on delivering impactful initiatives.</li></ul></div><ul><li>
Experience in architecting, building and maintaining large-scale data and AI solutions in a scientific, regulated, or research-heavy environment.</li><li>
Strong experience working within the pharmaceutical, biotech, or life sciences industry, particularly within R&amp;D, is highly desirable.</li><li>
Proven track record of implementing proof of concept as well as production grade AI/ML, Gen AI and large language model (LLM) applications in production environments.</li></ul><div>
Competencies<br>
Accountability for Results - Stay focused on key strategic objectives, be accountable for high standards of performance, and take an active role in leading change.<br>
Strategic Thinking &amp; Problem Solving - Make decisions considering the long-term impact to customers, patients, employees, and the business.<br>
Patient &amp; Customer Centricity - Maintain an ongoing focus on the needs of our customers and/or key stakeholders.<br>
Impactful Communication - Communicate with logic, clarity, and respect. Influence at all levels to achieve the best results for Otsuka.<br>
Respectful Collaboration - Seek and value others&rsquo; perspectives and strive for diverse partnerships to enhance work toward common goals.<br>
Empowered Development - Play an active role in professional development as a business imperative.</div><div></div>
Minimum $150,034.00 - Maximum $224,250.00, plus incentive opportunity: The range shown represents a typical pay range or starting pay for individuals who are hired in the role to perform in the United States. Other elements may be used to determine actual pay such as the candidate&rsquo;s job experience, specific skills, and comparison to internal incumbents currently in role. Typically, actual pay will be positioned within the established range, rather than at its minimum or maximum. This information is provided to applicants in accordance with states and local laws.<div></div><div><div><div><div><div><div><div><div>
Application Deadline: This will be posted for a minimum of 5 business days.</div></div></div></div></div></div></div></div><div></div><div>
Company benefits: Comprehensive medical, dental, vision, prescription drug coverage, company provided basic life, accidental death &amp; dismemberment, short-term and long-term disability insurance, tuition reimbursement, student loan assistance, a generous 401(k) match, flexible time off, paid holidays, and paid leave programs as well as other company provided benefits.</div><div></div><div>
Come discover more about Otsuka and our benefit offerings; <div>https://www.otsuka-us.com/careers-join-otsuka</div>.</div><div></div><div><div><div><div>
Disclaimer:</div><div></div><div><div><div><br>
This job description is intended to describe the general nature and level of the work being performed by the people assigned to this position. It is not intended to include every job duty and responsibility specific to the position. Otsuka reserves the right to amend and change responsibilities to meet business and organizational needs as necessary.</div></div><div></div><div><div><br>
Otsuka is an equal opportunity employer. All qualified applicants are encouraged to apply and will be given consideration for employment without regard to race, color, sex, gender identity or gender expression, sexual orientation, age, disability, religion, national origin, veteran status, marital status, or any other legally protected characteristic.</div></div><div></div><div><div><br>
If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation, if you are unable or limited in your ability to apply to this job opening as a result of your disability. You can request reasonable accommodations by contacting <div>Accommodation Request</div>.</div></div></div></div></div></div><div></div><div>
Statement Regarding Job Recruiting Fraud Scams</div><div></div><div>
At Otsuka we take security and protection of your personal information very seriously. Please be aware individuals may approach you and falsely present themselves as our employees or representatives. They may use this false pretense to try to gain access to your personal information or acquire money from you by offering fictitious employment opportunities purportedly on our behalf.</div><div></div><div>
Please understand, Otsuka will never ask for financial information of any kind or for payment of money during the job application process. We do not require any financial, credit card or bank account information and/or any payment of any kind to be considered for employment. We will also not offer you money to buy equipment, software, or for any other purpose during the job application process. If you are being asked to pay or offered money for equipment fees or some other application processing fee, even if claimed you will be reimbursed, this is not Otsuka. These claims are fraudulent and you are strongly advised to exercise caution when you receive such an offer of employment.</div><div></div><div>
Otsuka will also never ask you to download a third-party application in order to communicate about a legitimate job opportunity. Scammers may also send offers or claims from a fake email address or from Yahoo, Gmail, Hotmail, etc, and not from an official Otsuka email address. Please take extra caution while examining such an email address, as the scammers may misspell an official Otsuka email address and use a slightly modified version duplicating letters.</div><div></div><div>
To ensure that you are communicating about a legitimate job opportunity at Otsuka, please only deal directly with Otsuka through its official Otsuka Career website <div>https://vhr-otsuka.wd1.myworkdayjobs.com/en-US/External</div>.</div><div></div><div>
Otsuka will not be held liable or responsible for any claims, losses, damages or expenses resulting from job recruiting scams. If you suspect a position is fraudulent, please contact Otsuka&rsquo;s call center at: 800-363-5670. If you believe you are the victim of fraud resulting from a job recruiting scam, please contact the FBI through the Internet Crime Complaint Center at: <div>https://www.ic3.gov</div>, or your local authorities.</div><div></div><div>
Otsuka America Pharmaceutical Inc., Otsuka Pharmaceutical Development &amp; Commercialization, Inc., and Otsuka Precision Health, Inc. (&ldquo;Otsuka&rdquo;) does not accept unsolicited assistance from search firms for employment opportunities. All CVs/resumes submitted by search firms to any Otsuka employee directly or through Otsuka&rsquo;s application portal without a valid written search agreement in place for the position will be considered Otsuka&rsquo;s sole property. No fee will be paid if a candidate is hired by Otsuka as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.</div></div>

Senior Manager, AI and Data Engineering

<div></div><div><div>Job Summary</div><div></div><div>
The Senior Manager Artificial Intelligence and Data Scientist will focus on building robust scalable AI solutions and applications across R&amp;D and corporate functions. This role will be accountable for architecting, developing, and maintaining scalable AI and Gen AI solutions. To do so, the role will leverage the foundational AI platform and engineering solution to focus on implementation of AI and Gen AI use cases from rapid prototypes to qualified or validated production application. The ideal candidate would have deep expertise and successful hands on experience in foundations of AI/ML in an Industry setting, understand AI/ML technologies, and possess a strong grasp of the pharmaceutical R&amp;D processes, drug development, R&amp;D and Enterprise data, and its lifecycle management.</div><div></div><div>
The Senior Manager AI and Data Scientist is a strategic leader who identifies and develops AI-driven solutions to complex industry challenges, from drug discovery to clinical trials. This role requires a unique blend of deep domain knowledge in life sciences, deep technical proficiency in AI and data science, and proven product management expertise. Beyond technical and product skills, they must possess exceptional communication, leadership, and problem-solving abilities to align diverse teams, navigate ambiguity, and deliver innovative solutions that provide tangible business and scientific value.</div><div></div><div>
Job Description</div><ul><li>
Develop, implement, and deliver AI/ML, and Gen AI applications to provide insights, support decisions, and operational efficiencies across R&amp;D functions</li><li>
Create product vision, set roadmap, and manage end-to-end AI product lifecycle while ensuring regulatory compliance.</li><li>
Effectively translate complex AI concepts for non-technical stakeholders, guide cross-functional teams of data scientists and engineers, and drive the adoption of new technologies.</li><li>
Provide technical expertise on responsible and ethical AI use for projects and develop best practices, standards, and documentation to consistently enable responsible AI solutions; ensure that these principle AI and Gen AI components such as RAG, agentic architectures, and other forms of data analytics ranging from traditional to newer technologies</li><li>
Provide technical inputs on the AI ecosystem and architecture including platform evolution, and new capability development</li><li>
Guide developers and other extended team members or vendor resources to provide oversight on architecture, solution, AI/ML model development, testing, and its validation</li><li>
Collaborate with stakeholders to understand their processes, AI needs, and convert them to prioritized AI portfolio in the domain of responsibility</li><li>
Design and oversee enterprise Data Science and AI solutions that support analytics, AI, and GenAI solutions, ensuring structures are scalable, secure, and aligned with responsible and ethical AI use, and governance policies.</li><li>
Demonstrate a proactive approach to identifying and resolving potential AI system issues both during development and production support of data analytics and AI applications</li><li>
Ensure development of reusable data and AI components and promote their use across the data and AI ecosystem, business functions (e.g., clinical operations, asset management, clinical development, quality, safety, regulatory, Enterprise functions, etc.) and promote innovative, scalable data and AI engineering approaches to accelerate data science and AI work</li><li>
Leverage deep understanding of variety of R&amp;D data (Clinical trials, Textual data, Clinical data, safety, etc.) to develop pragmatic operational AI use cases; these may include analytics, traditional AI/ML, or Gen AI</li><li>
Participate in design and architecture reviews for Data Science and AI solutions where requested</li><li>
Collaborate with internal data and AI engineers, other AI scientist, IT, cloud architects to ensure that data infrastructure and technical solutions are aligned with enterprise architecture, compliance needs, and organizational priorities</li></ul><div></div><div>
AI and Gen AI implementation</div><ul><li>
Lead the industrialization of AI, Gen AI, and data science applications, moving from prototypes and proofs-of-concept to full production systems</li><li>
Develop and implement scalable engineering solutions, data repositories, data representations, and knowledge engineering to support the data and AI strategy execution and enable efficient model training, validation, and deployment of AI/ML models.</li><li>
Collaborate with data scientists, AI, and machine learning scientists to build robust engineering frameworks that enable Retrieval-Augmented Generation (RAG), Agentic architectures, and other Gen AI workflows in R&amp;D</li><li>
Introduce new AI/ML and Gen AI technologies into existing drug development processes, identifying opportunities for innovation and automation.</li><li>
Ensure that all data and AI solutions comply with pharmaceutical industry regulations, including HIPAA, GxP, and other relevant standards.</li></ul><div><ul><li>
Drive awareness of AI/ML applications and the importance of strong Data and AI engineering foundation across the organization</li><li>
Provide AI support for Data and Information Governance, quality, and FAIR data</li></ul><div></div><div><div>
Team and Organizational Leadership</div><ul><li>
Foster a culture of innovation, continuous learning, and accountability within and across team.</li><li>
Collaborate with Legal and Compliance teams to embed auditability and traceability into AI and Gen AI workflows</li><li>
Serve as AI and Data engineering expert for internal portfolio as well as organization wide initiatives, reviews, and AI committees.</li></ul></div></div><div></div><div><div>
Cross-functional Collaboration</div></div><div><ul><li>
Build strong, trusted relationships with key stakeholders across R&amp;D, Scientific and Operations AI Data Science teams, other DnA pillars, IT, and external partners.</li><li>
Partner with R&amp;D teams to translate complex scientific challenges into clear, executable data and AI projects.</li><li>
Communicate strategy, progress, and outcomes to diverse stakeholders, including technical teams and executive leadership.</li></ul></div><div></div><div>
Qualifications/ Required</div><div>
Knowledge/ Experience and Skills:</div><div></div><div>
PREFERRED QUALIFICATIONS</div><ul><li>
Masters degree in Data Science, Computer Engineering, Computer Science, Physics, Statistics, Information Systems, or a related discipline with focus on advanced and modern Data Science, including the use of AI and machine learning. PhD is preferred.</li><li>
Experience in software/product engineering</li><li>
Experience with data science enabling technology, such as Dataiku Data Science Studio, AWS SageMaker, or other data science platforms</li><li>
Strong proficiency in SQL and programming languages like Python or R</li><li>
Experience in architecting, building and maintaining large-scale data and AI solutions in a scientific, regulated, or research-heavy environment.</li><li>
Strong experience working within the pharmaceutical, biotech, or life sciences industry, particularly within R&amp;D, is highly desirable.</li><li>
Proven track record of implementing and deploying Gen AI and large language model (LLM) applications in production environments.</li></ul><div><ul><li>
Expertise in real-world data assets and using them to generate scientific evidence and guide operational effectiveness and efficiencies.</li><li>
Deep expertise across data engineering, representation, Gen AI, AI and machine learning techniques and experience in architecting and delivering AI/ML use cases.</li><li>
Highly self-motivated to deliver both independently and with strong team collaboration. Strong internal and cross-functional collaboration, project management skills with a focus on delivering impactful initiatives.</li></ul></div><div>
Competencies<br>
Accountability for Results - Stay focused on key strategic objectives, be accountable for high standards of performance, and take an active role in leading change.<br>
Strategic Thinking &amp; Problem Solving - Make decisions considering the long-term impact to customers, patients, employees, and the business.<br>
Patient &amp; Customer Centricity - Maintain an ongoing focus on the needs of our customers and/or key stakeholders.<br>
Impactful Communication - Communicate with logic, clarity, and respect. Influence at all levels to achieve the best results for Otsuka.<br>
Respectful Collaboration - Seek and value others&rsquo; perspectives and strive for diverse partnerships to enhance work toward common goals.<br>
Empowered Development - Play an active role in professional development as a business imperative.</div><div></div>
Minimum $150,034.00 - Maximum $224,250.00, plus incentive opportunity: The range shown represents a typical pay range or starting pay for individuals who are hired in the role to perform in the United States. Other elements may be used to determine actual pay such as the candidate&rsquo;s job experience, specific skills, and comparison to internal incumbents currently in role. Typically, actual pay will be positioned within the established range, rather than at its minimum or maximum. This information is provided to applicants in accordance with states and local laws.<div></div><div><div><div><div><div><div><div><div>
Application Deadline: This will be posted for a minimum of 5 business days.</div></div></div></div></div></div></div></div><div></div><div>
Company benefits: Comprehensive medical, dental, vision, prescription drug coverage, company provided basic life, accidental death &amp; dismemberment, short-term and long-term disability insurance, tuition reimbursement, student loan assistance, a generous 401(k) match, flexible time off, paid holidays, and paid leave programs as well as other company provided benefits.</div><div></div><div>
Come discover more about Otsuka and our benefit offerings; <div>https://www.otsuka-us.com/careers-join-otsuka</div>.</div><div></div><div><div><div><div>
Disclaimer:</div><div></div><div><div><div><br>
This job description is intended to describe the general nature and level of the work being performed by the people assigned to this position. It is not intended to include every job duty and responsibility specific to the position. Otsuka reserves the right to amend and change responsibilities to meet business and organizational needs as necessary.</div></div><div></div><div><div><br>
Otsuka is an equal opportunity employer. All qualified applicants are encouraged to apply and will be given consideration for employment without regard to race, color, sex, gender identity or gender expression, sexual orientation, age, disability, religion, national origin, veteran status, marital status, or any other legally protected characteristic.</div></div><div></div><div><div><br>
If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation, if you are unable or limited in your ability to apply to this job opening as a result of your disability. You can request reasonable accommodations by contacting <div>Accommodation Request</div>.</div></div></div></div></div></div><div></div><div>
Statement Regarding Job Recruiting Fraud Scams</div><div></div><div>
At Otsuka we take security and protection of your personal information very seriously. Please be aware individuals may approach you and falsely present themselves as our employees or representatives. They may use this false pretense to try to gain access to your personal information or acquire money from you by offering fictitious employment opportunities purportedly on our behalf.</div><div></div><div>
Please understand, Otsuka will never ask for financial information of any kind or for payment of money during the job application process. We do not require any financial, credit card or bank account information and/or any payment of any kind to be considered for employment. We will also not offer you money to buy equipment, software, or for any other purpose during the job application process. If you are being asked to pay or offered money for equipment fees or some other application processing fee, even if claimed you will be reimbursed, this is not Otsuka. These claims are fraudulent and you are strongly advised to exercise caution when you receive such an offer of employment.</div><div></div><div>
Otsuka will also never ask you to download a third-party application in order to communicate about a legitimate job opportunity. Scammers may also send offers or claims from a fake email address or from Yahoo, Gmail, Hotmail, etc, and not from an official Otsuka email address. Please take extra caution while examining such an email address, as the scammers may misspell an official Otsuka email address and use a slightly modified version duplicating letters.</div><div></div><div>
To ensure that you are communicating about a legitimate job opportunity at Otsuka, please only deal directly with Otsuka through its official Otsuka Career website <div>https://vhr-otsuka.wd1.myworkdayjobs.com/en-US/External</div>.</div><div></div><div>
Otsuka will not be held liable or responsible for any claims, losses, damages or expenses resulting from job recruiting scams. If you suspect a position is fraudulent, please contact Otsuka&rsquo;s call center at: 800-363-5670. If you believe you are the victim of fraud resulting from a job recruiting scam, please contact the FBI through the Internet Crime Complaint Center at: <div>https://www.ic3.gov</div>, or your local authorities.</div><div></div><div>
Otsuka America Pharmaceutical Inc., Otsuka Pharmaceutical Development &amp; Commercialization, Inc., and Otsuka Precision Health, Inc. (&ldquo;Otsuka&rdquo;) does not accept unsolicited assistance from search firms for employment opportunities. All CVs/resumes submitted by search firms to any Otsuka employee directly or through Otsuka&rsquo;s application portal without a valid written search agreement in place for the position will be considered Otsuka&rsquo;s sole property. No fee will be paid if a candidate is hired by Otsuka as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.</div></div>

Senior Manager, AI and Data Scientist

<div></div><div><div>Job Summary</div><div></div><div>
The Senior Director, Data and AI Engineering will be a visionary and strategic leader responsible for defining and executing the data and AI engineering strategy across the entire R&amp;D value chain with a deep knowledge of AI and R&amp;D Data. This role will empower scientific, and business functions&mdash;including drug development, clinical trials, real-world data evidence&mdash;by delivering robust, scalable, and compliant data and AI foundations and implementing advanced data, AI and Generative AI (Gen AI) solutions.</div><div></div><div>
As a technical leader, the Senior Director will manage a high-performing team of data engineers, AI/MLOps specialists, and application support team to foster a culture of innovation, and ensure the adoption of best-in-class engineering practices within a regulated pharmaceutical environment. This leader will bridge the gap between scientific ambition and technical execution, translating complex R&amp;D challenges into impactful data and AI engineering solutions. The role will oversee a team of data and AI engineers, manage resources, and collaborate with internal and external partners to deliver high-quality data and analytic products.</div><div>
The Data and AI Engineering team will focus on establishing and enhancing Otsuka&rsquo;s Data and AI solutions foundations on top of the AI platform provided by Data and AI platform team in IT. This role will oversee team is a centralized capability and comprises of programmers, full-stack AI and data engineers who work closely with other Data and Analytics, AI Scientists, Data Scientists, various roles in IT, and other business functions.</div><div></div><div>
Job Description</div><div><div>
Strategy and Vision</div></div><div><ul><li>
Define and drive the strategic vision and roadmap for data engineering, AI, and Gen AI capabilities within R&amp;D, aligning with overall business objectives and scientific priorities.</li><li>
Serve as a key thought leader and trusted advisor to senior R&amp;D leadership on opportunities and risks related to AI and data technologies and AI. Represent data and AI engineering in key AI and Data solutions initiatives in Otsuka as needed.</li></ul></div><div><ul><li>
Evaluate and adopt emerging data and AI technologies, balancing new opportunities with the need for scalability, reliability, and regulatory compliance.</li></ul></div><div></div><div>
Execution and Technical Leadership</div><ul><li>
Deliver leading edge engineering approaches, effective enterprise data strategy (specifically clinical, operational, and real-world data), robust and responsible AI/ML model development, fit-for-purpose clinical development data stewardship strategies to enable key data insights to inform decision making and assist in business transformation initiatives.<ul><li>
Lead and deliver the design, development, and deployment of extensible and scalable data engineering for complex R&amp;D Data, pipelines, and architecture for AI applications to support all R&amp;D data AI needs, including structured, unstructured (text, imaging, and data from sensors, medical devices, and digital apps), and real-time data.</li><li>
Oversee the implementation of AI and Gen AI use cases from ideation to production deployment, and application life cycle management. Hands on experience in architecting engineering foundation for a diverse set of AI solutions.</li><li>
Lead and deliver data processing, representations, and AI engineering in R&amp;D for applications ranging across: clinical trial optimization, patient recruitment, content authoring automation, asset management, pharmacovigilance, quality, regulatory, and enterprise functions, Real-World Data, sensor and medical device data, omics data, .</li><li>
Champion engineering best practices, review AI solution architectures, and data &amp; AI observability to ensure technical consistency, scalability, and effective governance of AI engineering across the portfolio of oversight.</li><li>
Architect and scale MLOps practices for in house applications to support the entire model lifecycle&mdash;from experimentation and deployment to monitoring and retraining&mdash;while ensuring automation and reproducibility.</li><li>
Drive awareness of AI/ML applications and the importance of strong Data and AI engineering foundation across the organization</li><li>
Provide technical and engineering support for Data and Information Governance, quality, and FAIR data</li></ul></li></ul><div></div><div><div>
Team and Organizational Leadership</div><ul><li>
Build, mentor, and lead a high-performing and collaborative team of data engineers, AI/ML engineers, life cycle support.</li><li>
Foster a culture of innovation, continuous learning, and accountability within and across team.</li><li>
Effectively manage budget, resource allocation, and project timelines for the data and AI engineering portfolio.</li></ul></div><div></div><div><div>
Oversight and Governance</div><ul><li>
Ensure that all data and AI initiatives and applications adhere to internal governance standards, data privacy regulations (e.g., GxP, HIPAA), and responsible AI principles.</li><li>
Collaborate with Legal and Compliance teams to embed auditability and traceability into AI and Gen AI workflows.</li><li>
Serve as AI and Data engineering expert for internal portfolio as well as organization wide initiatives, reviews, and AI committees.</li><li>
Establish and manage robust monitoring, alerting, and incident response processes for all AI capabilities.</li><li>
Effectively manage and provide oversight on vendors and vendor resources providing support to data and AI engineering portfolio</li><li>
Lead or participate in meetings related to Data or AI, its impact, enablement, governance, determining or enabling roadmaps and strategy as needed.</li></ul></div><div></div><div><div>
Cross-functional Collaboration</div></div><div><ul><li>
Work closely with Data and AI Platform team and leverage platform level capabilities, solutions provided by IT as well as share data and AI solution needs as well as guidance with respective providers (Data and AI platform, IT infrastructure, etc.)</li><li>
Build strong, trusted relationships with key stakeholders across R&amp;D, Scientific and Operations AI Data Science teams, other DnA pillars, IT, and external partners.</li><li>
Partner with R&amp;D teams to translate complex scientific challenges into clear, executable data and AI projects.</li><li>
Communicate strategy, progress, and outcomes to diverse stakeholders, including technical teams and executive leadership.</li><li>
Lead as subject matter expert, while communicating, and collaborating effectively to ensure portfolio success.</li></ul></div><div></div><div>
Qualifications/ Required</div><div>
Knowledge/ Experience and Skills:</div><div><ul><li>
Expertise in real-world data assets and using them to generate scientific evidence and guide operational effectiveness and efficiencies.</li><li>
Deep expertise across data engineering, representation, Gen AI, AI and machine learning techniques and experience in architecting and delivering AI/ML use cases.</li><li>
Strong team leadership, internal and cross-functional collaboration, project management skills with a focus on delivering impactful initiatives.</li></ul></div><ul><li>
12+ years of progressive leadership experience in data engineering, AI/ML, and Gen AI with at least 5 years in senior technical leadership or management roles.</li><li>
Strong and demonstrated experience in architecting, building and maintaining large-scale data and AI solutions in a scientific, regulated, or research-heavy environment.</li><li>
Strong experience working within the pharmaceutical, biotech, or life sciences industry, particularly within R&amp;D, is highly desirable along with a deep understanding of AI and Machine Learning and its applications in Pharma.</li><li>
Proven track record of implementing and deploying Gen AI and large language model (LLM) applications in production environments.</li><li>
Creative problem solving using responsible use of technology.</li></ul><div>
Educational Qualifications</div><ul><li>
Masters in Mathematical, Engineering, or Scientific disciplines such as Computer Science, Mathematics, Engineering, Physics, Statistics, or a related field with focus on advanced and modern Data Science, including the use of AI and machine learning. PhD is strongly preferred.</li></ul><div>
Competencies<br>
Accountability for Results - Stay focused on key strategic objectives, be accountable for high standards of performance, and take an active role in leading change.<br>
Strategic Thinking &amp; Problem Solving - Make decisions considering the long-term impact to customers, patients, employees, and the business.<br>
Patient &amp; Customer Centricity - Maintain an ongoing focus on the needs of our customers and/or key stakeholders.<br>
Impactful Communication - Communicate with logic, clarity, and respect. Influence at all levels to achieve the best results for Otsuka.<br>
Respectful Collaboration - Seek and value others&rsquo; perspectives and strive for diverse partnerships to enhance work toward common goals.<br>
Empowered Development - Play an active role in professional development as a business imperative.</div><div></div>
Minimum $230,720.00 - Maximum $345,000.00, plus incentive opportunity: The range shown represents a typical pay range or starting pay for individuals who are hired in the role to perform in the United States. Other elements may be used to determine actual pay such as the candidate&rsquo;s job experience, specific skills, and comparison to internal incumbents currently in role. Typically, actual pay will be positioned within the established range, rather than at its minimum or maximum. This information is provided to applicants in accordance with states and local laws.<div></div><div><div><div><div><div><div><div><div>
Application Deadline: This will be posted for a minimum of 5 business days.</div></div></div></div></div></div></div></div><div></div><div>
Company benefits: Comprehensive medical, dental, vision, prescription drug coverage, company provided basic life, accidental death &amp; dismemberment, short-term and long-term disability insurance, tuition reimbursement, student loan assistance, a generous 401(k) match, flexible time off, paid holidays, and paid leave programs as well as other company provided benefits.</div><div></div><div>
Come discover more about Otsuka and our benefit offerings; <div>https://www.otsuka-us.com/careers-join-otsuka</div>.</div><div></div><div><div><div><div>
Disclaimer:</div><div></div><div><div><div><br>
This job description is intended to describe the general nature and level of the work being performed by the people assigned to this position. It is not intended to include every job duty and responsibility specific to the position. Otsuka reserves the right to amend and change responsibilities to meet business and organizational needs as necessary.</div></div><div></div><div><div><br>
Otsuka is an equal opportunity employer. All qualified applicants are encouraged to apply and will be given consideration for employment without regard to race, color, sex, gender identity or gender expression, sexual orientation, age, disability, religion, national origin, veteran status, marital status, or any other legally protected characteristic.</div></div><div></div><div><div><br>
If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation, if you are unable or limited in your ability to apply to this job opening as a result of your disability. You can request reasonable accommodations by contacting <div>Accommodation Request</div>.</div></div></div></div></div></div><div></div><div>
Statement Regarding Job Recruiting Fraud Scams</div><div></div><div>
At Otsuka we take security and protection of your personal information very seriously. Please be aware individuals may approach you and falsely present themselves as our employees or representatives. They may use this false pretense to try to gain access to your personal information or acquire money from you by offering fictitious employment opportunities purportedly on our behalf.</div><div></div><div>
Please understand, Otsuka will never ask for financial information of any kind or for payment of money during the job application process. We do not require any financial, credit card or bank account information and/or any payment of any kind to be considered for employment. We will also not offer you money to buy equipment, software, or for any other purpose during the job application process. If you are being asked to pay or offered money for equipment fees or some other application processing fee, even if claimed you will be reimbursed, this is not Otsuka. These claims are fraudulent and you are strongly advised to exercise caution when you receive such an offer of employment.</div><div></div><div>
Otsuka will also never ask you to download a third-party application in order to communicate about a legitimate job opportunity. Scammers may also send offers or claims from a fake email address or from Yahoo, Gmail, Hotmail, etc, and not from an official Otsuka email address. Please take extra caution while examining such an email address, as the scammers may misspell an official Otsuka email address and use a slightly modified version duplicating letters.</div><div></div><div>
To ensure that you are communicating about a legitimate job opportunity at Otsuka, please only deal directly with Otsuka through its official Otsuka Career website <div>https://vhr-otsuka.wd1.myworkdayjobs.com/en-US/External</div>.</div><div></div><div>
Otsuka will not be held liable or responsible for any claims, losses, damages or expenses resulting from job recruiting scams. If you suspect a position is fraudulent, please contact Otsuka&rsquo;s call center at: 800-363-5670. If you believe you are the victim of fraud resulting from a job recruiting scam, please contact the FBI through the Internet Crime Complaint Center at: <div>https://www.ic3.gov</div>, or your local authorities.</div><div></div><div>
Otsuka America Pharmaceutical Inc., Otsuka Pharmaceutical Development &amp; Commercialization, Inc., and Otsuka Precision Health, Inc. (&ldquo;Otsuka&rdquo;) does not accept unsolicited assistance from search firms for employment opportunities. All CVs/resumes submitted by search firms to any Otsuka employee directly or through Otsuka&rsquo;s application portal without a valid written search agreement in place for the position will be considered Otsuka&rsquo;s sole property. No fee will be paid if a candidate is hired by Otsuka as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.</div></div>

Senior Director, Data and AI Engineer

<div></div><div><div>Job Description</div><ul><li>
The Executive Assistant will provide highly professional personal administrative support to a small team of senior leaders (at the Sr. Vice President, Vice Presidents and Executive Director level) and departmental support as needed. Must provide on-site support.</li><li>
This individual will develop and maintain strong, credible relationships with the company&rsquo;s executives, supported teams and outside customers.</li><li>
This position requires a high-performing, experienced professional that functions with a high level of integrity, confidentiality and excellence. This individual must be self-motivated, seek challenges and anticipate needs.</li><li>
Must be able to track the activities of the department and its senior leaders, coordination of multiple individuals' meetings with internal and external customers and be able to function fluidly and effectively with minimal direction.</li><li>
Must anticipate and respond to changing situations and encourage and help others to do the same. Must effectively manage conflicting priorities, be comfortable in a fast-paced environment.</li><li>
Independently resolves moderately complex problems and issues under general supervision using appropriate judgment, discretion and knowledge.</li></ul><div></div><div>
Qualifications/ Required</div><div>
Knowledge/ Experience and Skills:</div><div>
The following are requirements for this position:</div><ul><li>
Must be highly organized, possess exceptional administrative, verbal and written communications skills.</li><li>
Prioritizing and organizing work</li><li>
Multi-tasking and balancing work while delivering results with the highest quality possible.</li><li>
Flexible schedule and ability to work late hours if needed due to project demands.</li><li>
Manage meetings with internal and external customers (scheduling, meeting invitations, preparing agendas and collecting and distributing materials for meetings, assisting in writing meeting minutes etc),</li><li>
Manage complex travel schedules &ndash; both domestic and international. Completes expense reports.</li><li>
Maintain org charts, distribution list and related departmental information.</li><li>
Assist contract submissions.</li><li>
A high level of proficiency with the Microsoft Office suite, especially PowerPoint expertise</li><li>
Able to learn systems and procedures quickly.</li><li>
Strong organizational savvy and able to deal effectively with ambiguity.</li><li>
Reviews drafts and finished documents for appropriate language, grammatical usage, and format.</li><li>
Proven track record of assisting industry executives.</li><li>
Excellent meeting organizational skills, good understanding of international travel management</li><li>
Some of the primary responsibilities include managing administrative details and routine issues independently, taking ownership for completion.</li><li>
Assist in complex project coordination and support initiatives.</li><li>
Help with project plans for project teams, in local and virtual team settings with internal and external customers.</li><li>
Manages and maintains complicated business calendars in Outlook.</li><li>
Maintains confidential records and files and maintains highest level of confidentiality.</li><li>
Assists executives in the preparation of PowerPoint slide presentations, handouts, and other written materials for distribution at meetings.</li><li>
Team with colleagues to meet deadlines.</li><li>
At least 10 years of administrative support experience is required.</li></ul><div></div><div>
Educational Qualifications</div><ul><li>
Bachelor&rsquo;s degree is preferred.</li></ul><div></div><div>
Competencies<br>
Accountability for Results - Stay focused on key strategic objectives, be accountable for high standards of performance, and take an active role in leading change.<br>
Strategic Thinking &amp; Problem Solving - Make decisions considering the long-term impact to customers, patients, employees, and the business.<br>
Patient &amp; Customer Centricity - Maintain an ongoing focus on the needs of our customers and/or key stakeholders.<br>
Impactful Communication - Communicate with logic, clarity, and respect. Influence at all levels to achieve the best results for Otsuka.<br>
Respectful Collaboration - Seek and value others&rsquo; perspectives and strive for diverse partnerships to enhance work toward common goals.<br>
Empowered Development - Play an active role in professional development as a business imperative.</div><div></div>
Minimum $89,622.00 - Maximum $128,800.00, plus incentive opportunity: The range shown represents a typical pay range or starting pay for individuals who are hired in the role to perform in the United States. Other elements may be used to determine actual pay such as the candidate&rsquo;s job experience, specific skills, and comparison to internal incumbents currently in role. Typically, actual pay will be positioned within the established range, rather than at its minimum or maximum. This information is provided to applicants in accordance with states and local laws.<div></div><div><div><div><div><div><div><div><div>
Application Deadline: This will be posted for a minimum of 5 business days.</div></div></div></div></div></div></div></div><div></div><div>
Company benefits: Comprehensive medical, dental, vision, prescription drug coverage, company provided basic life, accidental death &amp; dismemberment, short-term and long-term disability insurance, tuition reimbursement, student loan assistance, a generous 401(k) match, flexible time off, paid holidays, and paid leave programs as well as other company provided benefits.</div><div></div><div>
Come discover more about Otsuka and our benefit offerings; <div>https://www.otsuka-us.com/careers-join-otsuka</div>.</div><div></div><div><div><div><div>
Disclaimer:</div><div></div><div><div><div><br>
This job description is intended to describe the general nature and level of the work being performed by the people assigned to this position. It is not intended to include every job duty and responsibility specific to the position. Otsuka reserves the right to amend and change responsibilities to meet business and organizational needs as necessary.</div></div><div></div><div><div><br>
Otsuka is an equal opportunity employer. All qualified applicants are encouraged to apply and will be given consideration for employment without regard to race, color, sex, gender identity or gender expression, sexual orientation, age, disability, religion, national origin, veteran status, marital status, or any other legally protected characteristic.</div></div><div></div><div><div><br>
If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation, if you are unable or limited in your ability to apply to this job opening as a result of your disability. You can request reasonable accommodations by contacting <div>Accommodation Request</div>.</div></div></div></div></div></div><div></div><div>
Statement Regarding Job Recruiting Fraud Scams</div><div></div><div>
At Otsuka we take security and protection of your personal information very seriously. Please be aware individuals may approach you and falsely present themselves as our employees or representatives. They may use this false pretense to try to gain access to your personal information or acquire money from you by offering fictitious employment opportunities purportedly on our behalf.</div><div></div><div>
Please understand, Otsuka will never ask for financial information of any kind or for payment of money during the job application process. We do not require any financial, credit card or bank account information and/or any payment of any kind to be considered for employment. We will also not offer you money to buy equipment, software, or for any other purpose during the job application process. If you are being asked to pay or offered money for equipment fees or some other application processing fee, even if claimed you will be reimbursed, this is not Otsuka. These claims are fraudulent and you are strongly advised to exercise caution when you receive such an offer of employment.</div><div></div><div>
Otsuka will also never ask you to download a third-party application in order to communicate about a legitimate job opportunity. Scammers may also send offers or claims from a fake email address or from Yahoo, Gmail, Hotmail, etc, and not from an official Otsuka email address. Please take extra caution while examining such an email address, as the scammers may misspell an official Otsuka email address and use a slightly modified version duplicating letters.</div><div></div><div>
To ensure that you are communicating about a legitimate job opportunity at Otsuka, please only deal directly with Otsuka through its official Otsuka Career website <div>https://vhr-otsuka.wd1.myworkdayjobs.com/en-US/External</div>.</div><div></div><div>
Otsuka will not be held liable or responsible for any claims, losses, damages or expenses resulting from job recruiting scams. If you suspect a position is fraudulent, please contact Otsuka&rsquo;s call center at: 800-363-5670. If you believe you are the victim of fraud resulting from a job recruiting scam, please contact the FBI through the Internet Crime Complaint Center at: <div>https://www.ic3.gov</div>, or your local authorities.</div><div></div><div>
Otsuka America Pharmaceutical Inc., Otsuka Pharmaceutical Development &amp; Commercialization, Inc., and Otsuka Precision Health, Inc. (&ldquo;Otsuka&rdquo;) does not accept unsolicited assistance from search firms for employment opportunities. All CVs/resumes submitted by search firms to any Otsuka employee directly or through Otsuka&rsquo;s application portal without a valid written search agreement in place for the position will be considered Otsuka&rsquo;s sole property. No fee will be paid if a candidate is hired by Otsuka as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.</div></div>

Executive Administrative Assistant

<div></div><div><div>The Director, Global Case Management, is responsible for providing strategic oversight, operational leadership, and functional expertise for global Individual Case Safety Report (ICSR) management activities. This role ensures the highest standards of compliance, quality, and operational efficiency across case processing activities, including both internally managed workflows and those performed by external vendors. The role partners closely with cross functional teams&mdash;including Clinical, Medical Safety, Data Management, and Alliance Management&mdash;to support the full safety lifecycle of assigned products. The Director also serves as the backup to the Global Head of Case Management and plays a key role in regulatory inspections, audits, and continuous improvement initiatives.</div><div></div><div>
This role has direct reports including FTEs and CWs/MSPs, who may be onsite or remote.</div><div></div><div>
KEY RESPONSIBILITIES</div><ul><li>
Serve as the designated SME to the Case Management team, supporting leadership oversight and decision-making ‑as needed.</li><li>
Manage resource planning and ensure appropriate operational coverage for Case Management team responsibilities.</li><li>
Oversee all ICSR case management operations and procedures, including development and maintenance of oversight reports to ensure high-quality ‑quality execution.</li><li>
Ensure adherence to company procedures and global regulatory requirements to maintain full compliance with reporting timelines and obligations.</li><li>
Provide leadership and oversight of case processing activities outsourced to the PV vendor, ensuring consistency, accuracy, and compliance.</li><li>
Develop, review, and approve training materials to support team competency, operational consistency, and inspection readiness.</li><li>
Collaborate with the Safety Data Management team to define business requirements and support enhancements for the Global Intake Tool and Global Safety Database.</li><li>
Maintain and continuously improve Data Entry Conventions, ICSR Job Aids, and related procedural and guidance documents.</li><li>
Partner with Clinical Study Teams and Medical Safety Teams on case processing&ndash;related activities for assigned products, including support for clinical safety (e.g., SAE reconciliation, protocol review, Safety Management Plans) and post‑marketing programs (e.g., REMS).</li><li>
Serve as decision maker for case management and ICSR related‑related operational issues.</li><li>
Lead continuous improvement initiatives at the team, functional, or global level to optimize quality, efficiency, and compliance.</li><li>
Review Pharmacovigilance Agreements (PVAs) and Safety Management Plans to ensure case management requirements are accurately reflected.</li><li>
Participate in global Regulatory Authority inspections and internal/third party audits, including serving as an interviewee and providing timely‑party audits, including serving as an interviewee and providing timely responses and documentation.</li><li>
Prepare, track, and respond to CAPAs and process deviations, ensuring timely and effective remediation.</li><li>
Proactively identify and escalate issues or risks.</li></ul><div></div><div>
JOB SCOPE (key facts &amp; figures)</div><ul><li>
Bachelor&rsquo;s degree in Life Sciences, Pharmacy, Nursing, or related field.</li><li>
Extensive experience (typically 6-8+ years) in Pharmacovigilance, case management, or related drug safety functions.</li><li>
Demonstrated leadership experience managing global teams or large-scale PV operations.</li><li>
Strong knowledge of global pharmacovigilance regulations, including FDA, EMA, ICH, CIOMS, and other regional health authority requirements.</li><li>
Experience overseeing case processing vendors and managing outsourced PV activities.</li><li>
Proven success in inspection and audit participation, including presenting, responding, and leading remediation efforts.</li><li>
Proficiency with safety databases, intake tools, and related PV systems.</li></ul><div></div><div>
QUALIFICATIONS/ EXPERIENCE REQUIRED</div><ul><li>
Health Science background (e.g., PharmD, RN, MPH), Master&rsquo;s degree or advanced health related degree a plus.</li><li>
Experience supporting clinical trial safety and post‑marketing PV activities.</li><li>
Prior involvement in system implementations or PV technology optimization.</li><li>
Experience in a global matrixed organization.</li></ul><div></div><div>
COMPETENCIES REQUIRED</div><ul><li>
Accountability for Results - Stay focused on key strategic objectives, be accountable for high standards of performance, and take an active role in leading change.</li><li>
Strategic Thinking &amp; Problem Solving - Make decisions considering the long-term impact to customers, patients, employees, and the business.</li><li>
Patient &amp; Customer Centricity - Maintain an ongoing focus on the needs of our customers and/or key stakeholders.</li><li>
Impactful Communication - Communicate with logic, clarity, and respect. Influence at all levels to achieve the best results for Otsuka.</li><li>
Respectful Collaboration - Seek and value others' perspectives and strive for diverse partnerships to enhance work toward common goals.</li><li>
Empowered Development - Play an active role in professional development.</li></ul><div>
Competencies<br>
Accountability for Results - Stay focused on key strategic objectives, be accountable for high standards of performance, and take an active role in leading change.<br>
Strategic Thinking &amp; Problem Solving - Make decisions considering the long-term impact to customers, patients, employees, and the business.<br>
Patient &amp; Customer Centricity - Maintain an ongoing focus on the needs of our customers and/or key stakeholders.<br>
Impactful Communication - Communicate with logic, clarity, and respect. Influence at all levels to achieve the best results for Otsuka.<br>
Respectful Collaboration - Seek and value others&rsquo; perspectives and strive for diverse partnerships to enhance work toward common goals.<br>
Empowered Development - Play an active role in professional development as a business imperative.</div><div></div>
Minimum $186,489.00 - Maximum $278,875.00, plus incentive opportunity: The range shown represents a typical pay range or starting pay for individuals who are hired in the role to perform in the United States. Other elements may be used to determine actual pay such as the candidate&rsquo;s job experience, specific skills, and comparison to internal incumbents currently in role. Typically, actual pay will be positioned within the established range, rather than at its minimum or maximum. This information is provided to applicants in accordance with states and local laws.<div></div><div><div><div><div><div><div><div><div>
Application Deadline: This will be posted for a minimum of 5 business days.</div></div></div></div></div></div></div></div><div></div><div>
Company benefits: Comprehensive medical, dental, vision, prescription drug coverage, company provided basic life, accidental death &amp; dismemberment, short-term and long-term disability insurance, tuition reimbursement, student loan assistance, a generous 401(k) match, flexible time off, paid holidays, and paid leave programs as well as other company provided benefits.</div><div></div><div>
Come discover more about Otsuka and our benefit offerings; <div>https://www.otsuka-us.com/careers-join-otsuka</div>.</div><div></div><div><div><div><div>
Disclaimer:</div><div></div><div><div><div><br>
This job description is intended to describe the general nature and level of the work being performed by the people assigned to this position. It is not intended to include every job duty and responsibility specific to the position. Otsuka reserves the right to amend and change responsibilities to meet business and organizational needs as necessary.</div></div><div></div><div><div><br>
Otsuka is an equal opportunity employer. All qualified applicants are encouraged to apply and will be given consideration for employment without regard to race, color, sex, gender identity or gender expression, sexual orientation, age, disability, religion, national origin, veteran status, marital status, or any other legally protected characteristic.</div></div><div></div><div><div><br>
If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation, if you are unable or limited in your ability to apply to this job opening as a result of your disability. You can request reasonable accommodations by contacting <div>Accommodation Request</div>.</div></div></div></div></div></div><div></div><div>
Statement Regarding Job Recruiting Fraud Scams</div><div></div><div>
At Otsuka we take security and protection of your personal information very seriously. Please be aware individuals may approach you and falsely present themselves as our employees or representatives. They may use this false pretense to try to gain access to your personal information or acquire money from you by offering fictitious employment opportunities purportedly on our behalf.</div><div></div><div>
Please understand, Otsuka will never ask for financial information of any kind or for payment of money during the job application process. We do not require any financial, credit card or bank account information and/or any payment of any kind to be considered for employment. We will also not offer you money to buy equipment, software, or for any other purpose during the job application process. If you are being asked to pay or offered money for equipment fees or some other application processing fee, even if claimed you will be reimbursed, this is not Otsuka. These claims are fraudulent and you are strongly advised to exercise caution when you receive such an offer of employment.</div><div></div><div>
Otsuka will also never ask you to download a third-party application in order to communicate about a legitimate job opportunity. Scammers may also send offers or claims from a fake email address or from Yahoo, Gmail, Hotmail, etc, and not from an official Otsuka email address. Please take extra caution while examining such an email address, as the scammers may misspell an official Otsuka email address and use a slightly modified version duplicating letters.</div><div></div><div>
To ensure that you are communicating about a legitimate job opportunity at Otsuka, please only deal directly with Otsuka through its official Otsuka Career website <div>https://vhr-otsuka.wd1.myworkdayjobs.com/en-US/External</div>.</div><div></div><div>
Otsuka will not be held liable or responsible for any claims, losses, damages or expenses resulting from job recruiting scams. If you suspect a position is fraudulent, please contact Otsuka&rsquo;s call center at: 800-363-5670. If you believe you are the victim of fraud resulting from a job recruiting scam, please contact the FBI through the Internet Crime Complaint Center at: <div>https://www.ic3.gov</div>, or your local authorities.</div><div></div><div>
Otsuka America Pharmaceutical Inc., Otsuka Pharmaceutical Development &amp; Commercialization, Inc., and Otsuka Precision Health, Inc. (&ldquo;Otsuka&rdquo;) does not accept unsolicited assistance from search firms for employment opportunities. All CVs/resumes submitted by search firms to any Otsuka employee directly or through Otsuka&rsquo;s application portal without a valid written search agreement in place for the position will be considered Otsuka&rsquo;s sole property. No fee will be paid if a candidate is hired by Otsuka as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.</div></div>

Director, Global Case Management

<div></div><div><div>Job Summary</div><div></div><div>
The Director of Data Enablement and Reporting is a strategic leader in DnA and will define, execute, and oversee the data enablement and reporting analytics across the R&amp;D organization. This role is responsible for the technical implementation of programs related to the use of data in various initiatives on data and support information governance policies. The Director will drive R&amp;D data strategy to enable a data-centric culture and ensure data is &quot;AI-ready&quot; by adhering to FAIR principles (Findable, Accessible, Interoperable, Reusable), and collaborate closely with AI, data science, engineering, and business teams to unlock the value of R&amp;D data while also ensuring that all data related compliance needs are met. This role will leverage internal Data Science and AI team and DnA pillars to deliver reporting analytics and serve as the lead for enabling AI readiness of R&amp;D data, its quality, clinical trial reporting and analytics. The role will also be responsible for providing advanced reporting through Gen AI solutions to stakeholders while relying on technical team to develop Gen BI solutions.</div><div></div><div>
The role will partner with various stakeholders in R&amp;D, Biostatistics, Clinical Data Management, Statistical Programming, Real World Data Analytics, Data Enablement or Governance, IT to ensure that initiatives leverage foundational capabilities as well as inform of needs in data enablement and reporting.</div><div></div><div>
Job Description</div><div></div><div>
Data Governance Strategy and Implementation</div><ul><li>
Develop, champion, and execute the R&amp;D data strategy roadmap, ensuring alignment with enterprise standards and regulatory requirements (e.g., GxP, HIPAA, GDPR).</li><li>
Design and operationalize a fit-for-purpose data governance framework, including policies, standards, data ownership models, and stewardship across R&amp;D functions (e.g., Clinical Operations, Research, Regulatory, Safety).</li><li>
Oversee the implementation and maintenance of key data governance as well as data capabilities towards AI readiness, including metadata management, semantic annotations for internal and external data, data cataloging, and data lineage tracking.</li><li>
Establish data quality standards, define quality metrics (KPIs), and lead remediation initiatives to ensure high data integrity, completeness, and accuracy. Provide metrics on the readiness of data for its use in AI and Data Science solutions.</li><li>
Collaborate with stakeholders to understand their processes, AI needs, and convert them to prioritized AI portfolio in the domain of responsibility</li><li>
Collaborate closely with Ethics and Compliance, Data Privacy, Information Security, IT and various R&amp;D business functions to develop and deliver data strategy that is aligned to Otsuka priorities on leveraging and protecting data assets.</li><li>
Leverage deep understanding of variety of R&amp;D data (Clinical trials, Textual data, Clinical data, safety, etc.) to develop pragmatic operational AI use cases; these may include analytics, traditional AI/ML, or Gen AI</li></ul><div></div><div>
Analytic Reporting and Data Product Delivery</div><ul><li>
Partner with R&amp;D business owners and leadership to identify and deliver high-impact, governed data products and analytical reporting that support strategic insights and operational efficiency.</li><li>
Collaborate with Data Science and AI Engineering teams to build scalable data models, data lakes, and visualization tools that enable self-service analytics and advanced data applications.</li><li>
Establish and monitor service level agreements (SLAs) and usage metrics for data products and reporting dashboards, continuously improving their value and adoption.</li><li>
Communicate data governance priorities, reporting metrics, and value realization to executive leadership and business stakeholders.</li></ul><div></div><div>
AI and Data Science Collaboration</div><ul><li>
Act as a business liaison for AI and Data Science teams, translating functional R&amp;D requirements into actionable data and governance initiatives in the areas of responsibility, such as clinical operations and management</li><li>
Collaborate with AI/ML teams to ensure the data is trusted, compliant, and ready for use in advanced analytics and AI applications.</li><li>
Identify and evaluate opportunities to leverage AI technologies to automate reporting analytics and governance workflows, such as metadata tagging and data quality checks.</li><li>
Collaborate with Enterprise wide Data and Information initiatives to deliver on Otsuka&rsquo;s Data, AI, reporting analytics, and information utilization, and governance goals</li></ul><div></div><div>
Leadership and Stakeholder Management</div><ul><li>
Lead, mentor, and develop a high-performing team of data and reporting professionals, fostering a culture of ethical governance and continuous learning.</li><li>
Drive a data and AI awareness culture change across R&amp;D to embed data ownership and stewardship into business processes and to treat data as a shared corporate asset. Ensure</li><li>
Lead analytics and reporting for Clinical Trial operations</li></ul><div></div><div>
Qualifications/ Required</div><div>
Knowledge/ Experience and Skills:</div><ul><li>
Master's or Ph.D. in a quantitative discipline such as Data Science, Bioinformatics, Statistics, Computer Science, or a related field.</li><li>
8-10+ years of experience in data management, data governance, stakeholder management or a related role within the pharmaceutical, biotech, or life sciences industry.</li><li>
Proven track record of defining, implementing, and operationalizing data governance frameworks and delivering strategic reporting in a regulated (GxP) environment.</li><li>
Deep understanding of R&amp;D data and information domains (e.g., clinical trials, drug development, external real-world data, genomics, and other digital/device and sensor data), data standards (e.g., CDISC), and regulatory compliance.</li><li>
Experience collaborating with data science and AI teams and a strong familiarity with the modern data stack (cloud platforms, data lakes, data catalogs). Familiarity with modern DSPM, and Data Governance solutions</li><li>
Excellent leadership, communication, and change management skills, with the ability to influence senior stakeholders across a complex, matrixed organization.</li><li>
Excellent communication and stakeholder management skills, with the ability to convey complex technical concepts to non-technical audiences.</li></ul><div>
Competencies<br>
Accountability for Results - Stay focused on key strategic objectives, be accountable for high standards of performance, and take an active role in leading change.<br>
Strategic Thinking &amp; Problem Solving - Make decisions considering the long-term impact to customers, patients, employees, and the business.<br>
Patient &amp; Customer Centricity - Maintain an ongoing focus on the needs of our customers and/or key stakeholders.<br>
Impactful Communication - Communicate with logic, clarity, and respect. Influence at all levels to achieve the best results for Otsuka.<br>
Respectful Collaboration - Seek and value others&rsquo; perspectives and strive for diverse partnerships to enhance work toward common goals.<br>
Empowered Development - Play an active role in professional development as a business imperative.</div><div></div>
Minimum $186,489.00 - Maximum $278,875.00, plus incentive opportunity: The range shown represents a typical pay range or starting pay for individuals who are hired in the role to perform in the United States. Other elements may be used to determine actual pay such as the candidate&rsquo;s job experience, specific skills, and comparison to internal incumbents currently in role. Typically, actual pay will be positioned within the established range, rather than at its minimum or maximum. This information is provided to applicants in accordance with states and local laws.<div></div><div><div><div><div><div><div><div><div>
Application Deadline: This will be posted for a minimum of 5 business days.</div></div></div></div></div></div></div></div><div></div><div>
Company benefits: Comprehensive medical, dental, vision, prescription drug coverage, company provided basic life, accidental death &amp; dismemberment, short-term and long-term disability insurance, tuition reimbursement, student loan assistance, a generous 401(k) match, flexible time off, paid holidays, and paid leave programs as well as other company provided benefits.</div><div></div><div>
Come discover more about Otsuka and our benefit offerings; <div>https://www.otsuka-us.com/careers-join-otsuka</div>.</div><div></div><div><div><div><div>
Disclaimer:</div><div></div><div><div><div><br>
This job description is intended to describe the general nature and level of the work being performed by the people assigned to this position. It is not intended to include every job duty and responsibility specific to the position. Otsuka reserves the right to amend and change responsibilities to meet business and organizational needs as necessary.</div></div><div></div><div><div><br>
Otsuka is an equal opportunity employer. All qualified applicants are encouraged to apply and will be given consideration for employment without regard to race, color, sex, gender identity or gender expression, sexual orientation, age, disability, religion, national origin, veteran status, marital status, or any other legally protected characteristic.</div></div><div></div><div><div><br>
If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation, if you are unable or limited in your ability to apply to this job opening as a result of your disability. You can request reasonable accommodations by contacting <div>Accommodation Request</div>.</div></div></div></div></div></div><div></div><div>
Statement Regarding Job Recruiting Fraud Scams</div><div></div><div>
At Otsuka we take security and protection of your personal information very seriously. Please be aware individuals may approach you and falsely present themselves as our employees or representatives. They may use this false pretense to try to gain access to your personal information or acquire money from you by offering fictitious employment opportunities purportedly on our behalf.</div><div></div><div>
Please understand, Otsuka will never ask for financial information of any kind or for payment of money during the job application process. We do not require any financial, credit card or bank account information and/or any payment of any kind to be considered for employment. We will also not offer you money to buy equipment, software, or for any other purpose during the job application process. If you are being asked to pay or offered money for equipment fees or some other application processing fee, even if claimed you will be reimbursed, this is not Otsuka. These claims are fraudulent and you are strongly advised to exercise caution when you receive such an offer of employment.</div><div></div><div>
Otsuka will also never ask you to download a third-party application in order to communicate about a legitimate job opportunity. Scammers may also send offers or claims from a fake email address or from Yahoo, Gmail, Hotmail, etc, and not from an official Otsuka email address. Please take extra caution while examining such an email address, as the scammers may misspell an official Otsuka email address and use a slightly modified version duplicating letters.</div><div></div><div>
To ensure that you are communicating about a legitimate job opportunity at Otsuka, please only deal directly with Otsuka through its official Otsuka Career website <div>https://vhr-otsuka.wd1.myworkdayjobs.com/en-US/External</div>.</div><div></div><div>
Otsuka will not be held liable or responsible for any claims, losses, damages or expenses resulting from job recruiting scams. If you suspect a position is fraudulent, please contact Otsuka&rsquo;s call center at: 800-363-5670. If you believe you are the victim of fraud resulting from a job recruiting scam, please contact the FBI through the Internet Crime Complaint Center at: <div>https://www.ic3.gov</div>, or your local authorities.</div><div></div><div>
Otsuka America Pharmaceutical Inc., Otsuka Pharmaceutical Development &amp; Commercialization, Inc., and Otsuka Precision Health, Inc. (&ldquo;Otsuka&rdquo;) does not accept unsolicited assistance from search firms for employment opportunities. All CVs/resumes submitted by search firms to any Otsuka employee directly or through Otsuka&rsquo;s application portal without a valid written search agreement in place for the position will be considered Otsuka&rsquo;s sole property. No fee will be paid if a candidate is hired by Otsuka as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.</div></div>

Director, Data Enablement and Reporting

<div></div><div><div>Job Summary</div><div></div><div>
The Associate Director, AI and Data Scientist is a hands-on experienced technical leader who specializes in applying AI and data science in the context of Pharma R&amp;D operational processes towards AI transformation. This may involve leading or contributing to AI projects that leverage diverse data and information to augment and accelerate current workflows. The role will focus on developing data science, AI solutions, use-cases, and applications as well as efficiently conducting research on feasibility of such solutions. While keenly focusing on business utility, and how AI transforms processes, the role will go deep into providing architectural and design guidance on the use of AI and data science, new processes and workflows to cross-functional teams and at times leading the implementing state-of-the-art AI solutions for business processes within R&amp;D and across Corporate Functions.</div><div></div><div>
The AI and Data Scientist will develop leading-edge technical solutions such as multi-agent orchestration, pragmatic uses of generative AI, and robust reusable AI and data science solution capabilities as part of cross-functional teams including life sciences subject matter experts and technical development teams, including AI engineers and AI platform engineers. In a world with rapidly evolving AI, AI technology, the AI scientist will also keep current with evolving technologies, gaining experience in new technology to guide better implementation of projects in responsibility, but also providing guidance to cross-functional teams, where needed.</div><div></div><div>
The AI and Data Scientist will work with other Data Science, AI Scientists, AI engineers, and others within the larger Data Science and AI team in designing, developing, and implementing robust solutions for Otsuka. The role will partner with cross-functional teams such as IT (e.g., AI platform engineers to utilize recommended foundational capabilities, and architectural frameworks) and other stakeholders to ensure that efficient and effective solutions are developed and ultimately lead to AI transformation.</div><div></div><div>
Job Description</div><div></div><div><div><ul><li>
AI product strategy: Develop a product vision and roadmap specifically for AI-driven solutions, aligning AI capabilities with business objectives, technology, and market trends. Implement Data Science and AI portfolio objectives and contribute to the development of data and analyses strategies esp. in augmenting and accelerating R&amp;D Operations while leveraging AI</li></ul></div><div><ul><li>
AI and ML Models: Experiment with, develop and train or fine-tune high quality effective AI models for business problems and processes, validate and evaluate them for fielding as part of broader solutions. Demonstrate strong foundational understanding of AI/ML, statistics, and data science concepts.</li><li>
Generative AI: Expertise in generative AI, including concepts like prompt engineering, embeddings, and fine-tuning, is often required for building and upgrading modern AI solutions. Core understanding of evaluation of LLMs quantitatively and qualitatively. Hands-on experience demonstrated in developing and fielding enterprise fieldable AI systems. Investigate and conduct Proof of Concept (PoC) initiatives and develop solutions for new AI applications using advanced technologies like Large Language Models (LLMs) and Generative AI (Gen-AI) to enhance data analytics capabilities to advance and effectively accelerate candidates across drug development phases.</li></ul></div><ul><li>
Data-driven decision making: Use data analysis and key performance indicators (KPIs) to monitor product performance and make informed decisions, considering the unique evaluation metrics for AI models in delivering business value, esp. in Pharma R&amp;D operations and Enterprise use cases.</li><li>
Understanding of Pharma R&amp;D Data: Possess a deep and expansive understanding of data in the field of drug development, clinical trials, external healthcare data to be able to be effectively build AI solutions that conform to responsible AI, privacy by design, as well as regulatory compliance.</li><li>
User centric solution design and development: Deliver effective AI enabled products that build trust, drive adoption, and lead to transformation. Ensure a design centric approaches through a deep understanding of user needs, fears, processes, regulations, and responsible AI.</li></ul><div><ul><li>
Guide AI ecosystem capabilities: Provide technical input on AI ecosystem, AI platform, AI frameworks and architecture including AI solution evolution, and new capability development. Guide developers and other technical team members as well as direct vendors to provide oversight on AI concepts and their implementation. Remain current with industry trends and advancements in AI/ML, R&amp;D processes and data, providing insights to help team leadership in influencing the organization's technical roadmap and strategy. Identify and apply innovative analytical solutions with a strong focus on adopting novel AI tools, methodologies, and technologies, including Gen AI, AI, machine learning applied to internal and external data</li></ul></div><ul><li>
Agentic AI frameworks and architecture: Design, implement and deploy of agentic AI systems utilizing perception, planning, reasoning, orchestration, execution, and reflection loops. Demonstrate deep previous experience in architecting and deploying AI agent based solutions.</li><li>
Understanding MLOps and LLMOps: Possess strong knowledge of processes and tools for deploying and maintaining machine learning models, LLM&rsquo;s, and agents in a production environment. Oversee the life cycle management and revisions of AI solutions</li></ul><div><ul><li>
Enablement and change management: Lead efforts to support the adoption of new AI technologies within an organization. Develop processes to optimize data and analytics systems and their execution, ensuring responsible use of cutting-edge technological advancements.</li></ul></div><ul><li>
Use case review: Lead or assist in review of AI / ML use cases to ensure a AI guidelines, frameworks, platform components, and responsible AI is enabled. Act as a subject matter expert for AI solution on cross functional teams in bespoke organizational initiatives by providing thought leadership and execution support for data engineering needs. Demonstrate a proactive approach to identifying and resolving potential issues both during development and production support of data analytics and AI applications</li><li>
Development and promote reuseable AI components: Ensure development of reusable data and AI solution components and promote their use across the data and AI ecosystem, business functions (e.g., clinical operations, asset management, quality, safety, regulatory, RWD, Enterprise functions, etc.) and promote innovative, scalable data and AI approaches to accelerate data science and AI solutions</li><li>
Cross-functional team leadership: Collaborate with a mix of technical, semi-technical and business stakeholders to lead and align diverse teams, including data scientists, engineers, designers, marketing, legal, and executives.</li><li>
Stakeholder management: Guide and manage stakeholders in communicating AI progress, outcomes, impact, limitations, and risks to stakeholders and managing expectations.</li><li>
&quot;Translator&quot; communication: The skill to bridge communication between technical AI teams and non-technical business stakeholders.</li><li>
Partnerships: Partner with other functional areas internally and external partners to conceptualize, develop or co-develop AI/ML capabilities while leveraging AI Engineering, Data Engineering, and AI platform architecture, AI platform engineers, and infrastructure, and other IT teams. Collaborate with internal data and AI scientist, IT, cloud architects to ensure that data infrastructure and technical solutions are aligned with enterprise architecture and compliance needs. Must leverage capabilities and roles that exist in the team and other areas</li><li>
Risk management and compliance: Collaborate with legal, privacy, and ethics teams to address concerns around algorithmic bias, fairness, transparency, and data privacy.</li><li>
Adaptability: Ensure effective operations while deeply understanding the greater ambiguity inherent in AI product development and adapting to continuous experimentation and iteration cycles.</li><li>
Strategic thinking: Ability to think beyond features and focus on curating intelligence and context that drives product evolution.</li></ul></div><div></div><div>
Qualifications</div><div><ul><li>
Masters degree in Data Science, Computer Engineering, Computer Science, Physics, Statistics, Information Systems, or a related discipline with focus on advanced and modern Data Science, including the use of AI and machine learning. PhD is preferred.</li></ul></div><ul><li>
Expertise in real-world data assets and using them to generate scientific evidence and guide operational effectiveness and efficiencies.</li><li>
Deep expertise across data engineering, representation, Gen AI, AI and machine learning techniques and experience in architecting and delivering AI/ML use cases.</li><li>
Experience in AI product development with focus on leveraging AI, Data Science, Machine Learning. Deep understanding of AI and Machine Learning and its applications in Pharma</li><li>
Experience with data science and AI enabling technology, such as Dataiku Data Science Studio, Snowflake, AWS SageMaker or other data science platforms and ability to maintain awareness as new AI technologies emerge</li><li>
Creative problem solving using responsible use of AI and other technologies.</li><li>
Excellent communication and stakeholder management skills, with the ability to convey complex technical concepts to non-technical audiences.</li><li>
Familiarity with machine learning and AI technologies and their integration with data engineering pipelines</li><li>
Strong understanding of Software Development Life Cycle (SDLC) and data science development lifecycle (CRISP). Awareness of testing and validation approaches related to GxP, non-GxP, etc.</li><li>
Highly self-motivated to deliver both independently and with strong team collaboration, leverage roles that exist in the team and in the larger ecosystem</li><li>
Experience in AI and ML based software/product engineering; familiarity with test and validation principles, GxP validation</li><li>
Experience with data science enabling technology, such as Dataiku Data Science Studio, Snowflake, AWS SageMaker or other data science platforms</li><li>
Experience in architecting, building and maintaining large-scale data and AI solutions in a scientific, regulated, or research-heavy environment.</li><li>
Strong experience working within the pharmaceutical, biotech, or life sciences industry, particularly in drug development and clinical trials is highly desirable.</li><li>
Proven track record of implementing and deploying Gen AI and large language model (LLM) applications in production environments.</li></ul><div><ul><li>
Expertise in real-world data assets and using them to generate scientific evidence and guide operational effectiveness and efficiencies.</li><li>
Deep expertise across data engineering, representation, Gen AI, AI and machine learning techniques and experience in architecting and delivering AI/ML use cases.</li><li>
Strong internal and cross-functional collaboration, project management skills with a focus on delivering impactful initiatives.</li><li>
Understanding of life sciences R&amp;D business processes.</li><li>
 Experience working with relevant life sciences datasets such as claims, clinical trial data, regulatory data, quality data, and other life sciences operations datasets.</li></ul></div><ul><li>
Experience in architecting, building and maintaining large-scale data and AI solutions in a scientific, regulated, or research-heavy environment.</li><li>
Strong experience working within the pharmaceutical, biotech, or life sciences industry, particularly within R&amp;D, is highly desirable.</li><li>
Proven track record of implementing proof of concept as well as production grade AI/ML, Gen AI and large language model (LLM) applications in production environments.</li><li>
An understanding of data's role in AI, including data collection, governance, and how to structure a problem for better AI outcomes.</li></ul><div>
Competencies<br>
Accountability for Results - Stay focused on key strategic objectives, be accountable for high standards of performance, and take an active role in leading change.<br>
Strategic Thinking &amp; Problem Solving - Make decisions considering the long-term impact to customers, patients, employees, and the business.<br>
Patient &amp; Customer Centricity - Maintain an ongoing focus on the needs of our customers and/or key stakeholders.<br>
Impactful Communication - Communicate with logic, clarity, and respect. Influence at all levels to achieve the best results for Otsuka.<br>
Respectful Collaboration - Seek and value others&rsquo; perspectives and strive for diverse partnerships to enhance work toward common goals.<br>
Empowered Development - Play an active role in professional development as a business imperative.</div><div></div>
Minimum $169,222.00 - Maximum $253,000.00, plus incentive opportunity: The range shown represents a typical pay range or starting pay for individuals who are hired in the role to perform in the United States. Other elements may be used to determine actual pay such as the candidate&rsquo;s job experience, specific skills, and comparison to internal incumbents currently in role. Typically, actual pay will be positioned within the established range, rather than at its minimum or maximum. This information is provided to applicants in accordance with states and local laws.<div></div><div><div><div><div><div><div><div><div>
Application Deadline: This will be posted for a minimum of 5 business days.</div></div></div></div></div></div></div></div><div></div><div>
Company benefits: Comprehensive medical, dental, vision, prescription drug coverage, company provided basic life, accidental death &amp; dismemberment, short-term and long-term disability insurance, tuition reimbursement, student loan assistance, a generous 401(k) match, flexible time off, paid holidays, and paid leave programs as well as other company provided benefits.</div><div></div><div>
Come discover more about Otsuka and our benefit offerings; <div>https://www.otsuka-us.com/careers-join-otsuka</div>.</div><div></div><div><div><div><div>
Disclaimer:</div><div></div><div><div><div><br>
This job description is intended to describe the general nature and level of the work being performed by the people assigned to this position. It is not intended to include every job duty and responsibility specific to the position. Otsuka reserves the right to amend and change responsibilities to meet business and organizational needs as necessary.</div></div><div></div><div><div><br>
Otsuka is an equal opportunity employer. All qualified applicants are encouraged to apply and will be given consideration for employment without regard to race, color, sex, gender identity or gender expression, sexual orientation, age, disability, religion, national origin, veteran status, marital status, or any other legally protected characteristic.</div></div><div></div><div><div><br>
If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation, if you are unable or limited in your ability to apply to this job opening as a result of your disability. You can request reasonable accommodations by contacting <div>Accommodation Request</div>.</div></div></div></div></div></div><div></div><div>
Statement Regarding Job Recruiting Fraud Scams</div><div></div><div>
At Otsuka we take security and protection of your personal information very seriously. Please be aware individuals may approach you and falsely present themselves as our employees or representatives. They may use this false pretense to try to gain access to your personal information or acquire money from you by offering fictitious employment opportunities purportedly on our behalf.</div><div></div><div>
Please understand, Otsuka will never ask for financial information of any kind or for payment of money during the job application process. We do not require any financial, credit card or bank account information and/or any payment of any kind to be considered for employment. We will also not offer you money to buy equipment, software, or for any other purpose during the job application process. If you are being asked to pay or offered money for equipment fees or some other application processing fee, even if claimed you will be reimbursed, this is not Otsuka. These claims are fraudulent and you are strongly advised to exercise caution when you receive such an offer of employment.</div><div></div><div>
Otsuka will also never ask you to download a third-party application in order to communicate about a legitimate job opportunity. Scammers may also send offers or claims from a fake email address or from Yahoo, Gmail, Hotmail, etc, and not from an official Otsuka email address. Please take extra caution while examining such an email address, as the scammers may misspell an official Otsuka email address and use a slightly modified version duplicating letters.</div><div></div><div>
To ensure that you are communicating about a legitimate job opportunity at Otsuka, please only deal directly with Otsuka through its official Otsuka Career website <div>https://vhr-otsuka.wd1.myworkdayjobs.com/en-US/External</div>.</div><div></div><div>
Otsuka will not be held liable or responsible for any claims, losses, damages or expenses resulting from job recruiting scams. If you suspect a position is fraudulent, please contact Otsuka&rsquo;s call center at: 800-363-5670. If you believe you are the victim of fraud resulting from a job recruiting scam, please contact the FBI through the Internet Crime Complaint Center at: <div>https://www.ic3.gov</div>, or your local authorities.</div><div></div><div>
Otsuka America Pharmaceutical Inc., Otsuka Pharmaceutical Development &amp; Commercialization, Inc., and Otsuka Precision Health, Inc. (&ldquo;Otsuka&rdquo;) does not accept unsolicited assistance from search firms for employment opportunities. All CVs/resumes submitted by search firms to any Otsuka employee directly or through Otsuka&rsquo;s application portal without a valid written search agreement in place for the position will be considered Otsuka&rsquo;s sole property. No fee will be paid if a candidate is hired by Otsuka as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.</div></div>

Associate Director, AI and Data Scientist

Join Otsuka and explore 7   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.