Qureos Mentor

Genentech

<div><div><div>THE POSITION</div><p>
As a Senior Business Systems Analyst, you will be responsible for the development, maintenance and advancement of the Enterprise Resource Planning (ERP) system recipe and master data used Oceanside Production. Successful candidates will represent the department as a subject matter expert and liaison between a variety of key internal and external stakeholders to maintain the integration between SAP, APO, MES, LIMS, and paper based systems.
</p><p></p><p>In the role, you will be adept at leading cross functional teams in problem identification and resolution and driving quantifiable business results. As a key representative of our department within the global business process management community, you will play a vital role in identifying and driving improvements that make a tangible difference. Your ability to collaborate effectively with diverse teams and independently tackle emerging challenges will be essential to the success of our projects and system implementations.</p><p></p><p>
Your contributions will also extend beyond immediate tasks. By leveraging your understanding of Drug Substance manufacturing&mdash;particularly in areas such as materials management, supply chain management, quality management, and master data management&mdash;you will help shape and enhance processes that support our broader mission. We&rsquo;re excited to find someone who thrives in dynamic settings and shares a passion for making an impact.</p><p></p><p><b>
The Opporutnity</b></p><p>
Scope of Work - The Business Analyst will be responsible for collaborating with suppliers/customers to identify, create, and manage SAP Master Data in order to enable planning and Make-Assess-Release processes.</p><p>
Responsibilities of this position include:</p><ul><li><p>
Applies a complete understanding of theories and concepts from one's technical /professional discipline to independently address a broad range of difficult problems.
</p></li><li><p>Work is performed under limited direction and guidance, with general instructions on new assignments. Work results are reviewed upon completion. Recommends to manager work priorities, timelines and resources. May provide guidance to lower level employees.
</p></li><li><p>Solves a wide range of difficult problems in imaginative ways. Demonstrates judgement in selecting methods and techniques for obtaining solutions. Participates in developing courses of action that may impact multiple functions in the organization. Regularly exercises independent judgement and discretion regarding matters of significance.</p></li><li><p>
Networks with senior internal and external personnel in own area of expertise. Represents organization on assigned projects.</p></li><li><p>
Develop SAP Master Data for use in Manufacture of Drug Substance</p></li><li><p>
Coordinate and lead Data Definition and Deployment efforts with site and network representatives.</p></li><li><p>
Adhere to change management processes to ensure data is deployed and maintained in a controlled manner. Provide analysis and reporting of data to manage key performance indicators.</p></li><li><p>
Translate business requirements to technical specifications and collaborate with key stakeholders to complete requests. Provide training on usage, enhancements and changes to business systems Leads cross-functional teams in the identification and implementation of improvement initiatives, using LEAN techniques.</p></li><li><p>
Key team member on Business Systems Integration (BSI) Team.</p></li></ul><p></p><p><b>
Who you are</b></p><ul><li><p>
B.A. or B.S. degree with 2-4 years work experience in the pharmaceutical, biopharmaceutical or related industry, or a Master&rsquo;s Degree with 0-2 years relevant experience, or an equivalent combination of education and experience.</p></li><li><p>
Experience with ERP systems Recipe Development, Master Data.</p></li><li><p>
Full use and application of basic Supply Chain/Business Process/cGMP theories, principles, and techniques.</p></li><li><p>
Possess strong analytical skills and understanding of systems and technical designs Knowledge of cGMPs and equivalent regulations</p></li></ul><p></p><p>
Demonstrated ability:</p><ul><li><p>
to effectively interpret Quality standards for implementation</p></li><li><p>
to manage small projects from initiation to delivery to achieve measurable results to independently evaluate situations and propose potential solutions</p></li><li><p>
to communicate clearly and professionally both in writing and verbally</p></li><li><p>
to quickly learn a broad range of skills</p></li><li><p>
to be flexible in problem solving and work hours to meet business objectives and dynamic production requirements</p></li></ul><p></p><p>
Preferences:</p><ul><li><p>
Experience in GMP Biopharmaceutical production facility</p></li><li><p>
Demonstrated project management skills</p></li><li><p>
Experience with SAP</p></li><li><p>
Experience with MES or other SAP interfacing Business Systems</p></li><li><p>
APICS CPIM certification</p></li><li><p>
Able to organize large sets of electronic data in spreadsheets and databases. Knowledge and practical application of Lean and/or Six Sigma methodology preferred. SQL statement scripting competency preferred.</p></li><li><p>
Extensive mouse and keyboard activities in office setting.</p></li></ul><p></p><p>
Relocation benefits are not available for this posting</p><p></p><p>
The expected salary range for this position based on the primary location of California is $77,800 - $144,400 USD annual. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.</p><p>
Benefits</p><p></p><p>
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.</p><p></p><p>
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.</p></div><p></p>
<div><div>JOB FACTS
</div><div><div><ul><div><b>Job Sub Category</b><b>
</b><p>Information Technology
</p></div><div><b>Schedule</b><b>
</b><p>Full time
</p></div><div><b>Job Type</b><b>
</b><p>Regular
</p></div><div><b>Posted Date</b><b>
</b><p>Mar 11th 2026
</p></div><div><b>Job ID</b><b>
</b><p>202603-106140</p></div></ul></div></div></div></div><p></p>

Senior Business Systems Analyst

<div><div><div>THE POSITION</div><p>
We are seeking a talented and highly motivated Bioinformatics Scientist to support the development of Roche Diagnostics Molecular Assays that have a global impact on patient care. This role requires a broad understanding of assay development across diverse technologies, including NGS, Nanopore sequencing, and PCR. The successful candidate will collaborate closely with bioinformaticians, wet lab scientists, and external customers to design, implement, and maintain internal algorithms and tools for clinical diagnostic assay development.</p><p></p><p><b>
The Opportunity:</b></p><ul><li><p>
Collaborate with multidisciplinary teams of molecular and computational biologists, as well as wet lab scientists, to design, optimize, and troubleshoot advanced high-throughput sequencing assays and workflows for clinical diagnostic applications.</p></li><li><p>
Contribute bioinformatics expertise throughout the assay development lifecycle, including initial sequencing, validation, and production implementation, by developing and maintaining analytical tools and pipelines for processing diagnostic data from tumor, germline, and cell-free DNA samples.</p></li><li><p>
Create, implement, and streamline bioinformatics tools and workflows in partnership with wet lab scientists to enhance assay development efficiency and data quality.</p></li><li><p>
Provide hands-on troubleshooting to ensure data quality, integrity, and accessibility across the diagnostic workflow, while addressing the needs of internal and external stakeholders through scientific and business analyses.</p></li><li><p>
Advocate for best practices in documenting, training, and scaling algorithms, tools, and workflows to ensure reproducibility and scalability.</p></li><li><p>
Clearly communicate project outcomes and team progress across various teams and organizational functions to promote alignment and collaboration.</p></li></ul><p></p><p><b>
Who You Are:</b></p><ul><li><p>
You have a PhD or Master&rsquo;s degree in Bioinformatics, Computational Biology, Statistics, or a related field.</p></li><li><p>
You have 6+ years of industry experience in clinical diagnostics or a related domain.</p></li><li><p>
You have expertise in DNA/RNA sequencing data analysis and interpretation.</p></li><li><p>
You are proficient in programming skills in R and/or Python, with experience working in a distributed Linux environment.</p></li><li><p>
You are proficient in creating clear, insightful visualizations of complex biological data, with strong presentation skills to effectively communicate results to both technical and non-technical audiences.</p></li><li><p>
You have a strong understanding of molecular biology principles and hands-on familiarity with next-generation sequencing laboratory processes. Able to work closely with bench scientists to troubleshoot experimental and workflow issues.</p></li><li><p>
You are skilled in writing and maintaining bioinformatics workflows using workflow management systems such as Snakemake or Nextflow</p></li><li><p>
You have demonstrated the ability to independently develop informatics solutions and contribute to scientific informatics initiatives.</p></li><li><p>
You have a solid understanding of cancer biology and in vitro diagnostics (IVD).</p></li></ul><p></p><p>
Preferred Qualifications:</p><ul><li><p>
Proficiency in C++ or Java is a plus.</p></li></ul><p></p><p>
Relocation benefits are not available for this posting.</p><p></p><p>
The expected salary range for this position based on the primary location of California is $139,400-$258,800. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.</p><p>
Benefits</p><p></p><p>
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.</p><p></p><p>
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.</p></div><p></p>
<div><div>JOB FACTS
</div><div><div><ul><div><b>Job Sub Category</b><b>
</b><p>Research Informatics
</p></div><div><b>Schedule</b><b>
</b><p>Full time
</p></div><div><b>Job Type</b><b>
</b><p>Regular
</p></div><div><b>Posted Date</b><b>
</b><p>Mar 12th 2026
</p></div><div><b>Job ID</b><b>
</b><p>202603-105507</p></div></ul></div></div></div></div><p></p>

Principal Bioinformatics Scientist

<div><div><div>THE POSITION</div><p>
The Head of Enterprise Architecture provides senior leadership to define, evolve, and govern architecture in support of Roche&rsquo;s business and digital strategy. The role leads a central architecture capability and partners closely with divisional leaders, CDTOs, and delivery teams to enable value-driven outcomes. Through visionary and inclusive leadership, the role fosters collaboration, trust, and capability growth across the architecture community. By ensuring architectural coherence across a federated technology landscape while enabling local autonomy and speed, the Head of Architecture helps shape the future of Roche.</p><p>
Description of the area. The Architecture function enables the organisation to plan, design, and evolve sustainable technology solutions by providing clear architectural direction, roadmaps, and standards. In close partnership with business functions and product teams, architecture brings insight into external market trends and emerging technologies to inform innovation and the next generation of digital solutions. By integrating diverse requirements into coherent solution and system designs, architecture ensures our technology landscape is aligned to enterprise principles, standards, and long-term strategic goals.</p><p></p><p><b>
The Opportunity</b></p><ul><li><p>
Enterprise Architecture Strategy: Ensures that an enterprise-wide architecture vision, principles, and target architectures are developed and maintained in alignment with Roche&rsquo;s business and digital strategy. Guides the team to translate strategic priorities into actionable architectural directions across domains by setting the framework for balancing long-term sustainability with near-term delivery needs.</p></li><li><p>
Federated Architecture Operating Model: Defines and evolves a federated operating model between central enterprise architects and distributed domain and solution architects. Facilitates alignment of local delivery efforts to enterprise-wide architectural goals by leveraging communities of practice and reusable architectural patterns.</p></li><li><p>
Strategic Partnership with Divisional CDTOs: Serves as a trusted advisor to divisional Chief Digital and Technology Officers (CDTOs) on technology strategies and roadmap decisions. Supports informed trade-offs to balance speed, cost, risk, reuse, and sustainability while ensuring enterprise coherence alongside divisional needs.</p></li><li><p>
Portfolio &amp; Investment Alignment: Champions the integration of architectural insights into portfolio management. Establishes processes and governance to enable teams to embed architecture into investment decisions, optimize reuse, control technical debt, and mitigate risks of duplication or fragmentation in technology initiatives.</p></li><li><p>
Architecture Governance &amp; Assurance: Provides leadership to design and implement a lightweight, principle-driven governance model underpinned by standards, reference architectures, and guardrails. Ensures that suitable processes are in place for embedding critical non-functional requirements, such as security, resilience, compliance, and data management, into early project planning without taking personal responsibility for every detail.</p></li><li><p>
Team Leadership &amp; Organizational Management: Leads and empowers a high-performing team of Enterprise Architects, and Architecture leads cultivating an outcome-focused environment. Oversees the Business Partnering and Technology Functions while fostering collaboration, pragmatism, effective decision-making and practice adoption. Oversees the Architecture Foundations function ensuring that architecture practices are well defined and adopted. This contains as well to monitor the usage of the integrated architecture toolchain, remains fully functional and delivers value to the RDT organization. Implements consistent ways of working and active engagement forums to support the architectural strategy.</p></li><li><p>
Technology Evolution &amp; Innovation: Steers efforts to monitor emerging technology trends and their potential implications for Roche's enterprise. Creates structured processes that guide decision-making on the adoption of modern platforms, enable deliberate modernization, and manage the thoughtful retirement of legacy technologies while fostering innovation throughout the organization.</p></li><li><p>
Communication &amp; Influence: Conveys architectural direction and rationale through clear, business-relevant communication. Provides actionable insights and context needed to influence outcomes across Roche effectively, even in situations without direct authority.</p></li></ul><p></p><p><b>
Who you Are:</b></p><ul><li><p>
Bachelor&rsquo;s or Master&rsquo;s degree with 10+ years of experience in enterprise or strategic architecture roles within complex, matrixed organisations</p></li><li><p>
Experience within the Pharmaceutical or BioTech industry is highly preferred.</p></li><li><p>
Digital Translator: Proven experience as a digital product owner or &quot;digital translator&quot; who has delivered digital use cases including advanced analytics and AI technologies.</p></li><li><p>
Pragmatic Thinker: Strong analytical skills with a focus on outcome-driven, sustainable solutions.</p></li><li><p>
Enterprise Mindset: A commitment to the &quot;One Roche&quot; philosophy, prioritizing the success of the entire organization over individual functional silos</p></li><li><p>
Proven ability to empower teams, foster collaboration and communities of practice, and build an inclusive, high-performing culture</p></li><li><p>
Enterprise mindset with a Lean-Agile leadership approach and passion for technology trends and innovation</p></li><li><p>
Demonstrated ability to build constructive and effective relationships with business and tech leaders, developing strategy in a consultative manner.</p></li><li><p>
Strong communication and influencing skills, with the ability to deal with senior stakeholders with strong business acumen and executive presence</p></li><li><p>
Demonstrated leadership of senior leaders, organisational transformation, and workforce and capacity management</p></li><li><p>
Proven ability to lead, mentor, and develop a high-performing team.</p></li><li><p>
Up-to-date knowledge of digital technology trends (AI, Data, Cloud) and a passion for translating them into new ways of working</p></li><li><p>
Proven experience defining and governing secure, compliant, enterprise-scale architectures in regulated environments</p></li><li><p>
Strong knowledge of architecture and delivery frameworks and modern digital platforms (e.g. TOGAF, SAFe, cloud, data, integration)</p></li></ul><p></p><p><b>
Location</b></p><p>
The primary location is South San Francisco, CA. Additional locations where candidates can be located are Basel/Kaiseraugst, Switzerland ; Warsaw/Poznan, Poland; Madrid, Spain; Pune/Hyderabad, India.</p><p>
Relocation assistance is available for this position.</p><p></p><p><b>
Compensation</b></p><p>
The expected salary range for this position based on the primary location of South San Francisco, CA is $264,800/yr to $347,550/yr. Actual pay will be determined based on experience, qualifications, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.</p><p></p><p>
[LINK]</p><p></p><p>
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.</p><p></p><p>
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.</p><p></p><p>
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.</p><p></p><p>
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.</p></div><p></p>
<div><div>JOB FACTS
</div><div><div><ul><div><b>Job Sub Category</b><b>
</b><p>Information Technology
</p></div><div><b>Schedule</b><b>
</b><p>Full time
</p></div><div><b>Job Type</b><b>
</b><p>Regular
</p></div><div><b>Posted Date</b><b>
</b><p>Mar 12th 2026
</p></div><div><b>Job ID</b><b>
</b><p>202603-106294</p></div></ul></div></div></div></div><p></p>

Head of Enterprise Architecture

<div><div><div>THE POSITION</div><div></div><p>
The Facilities department is a tight-knit, agile, collaborative, and fun team who are looking for a team member with a strong work ethic. In this role, you will support ongoing research and manufacturing that will drive Genentech&rsquo;s<br>
mission to cure patients of cancer. You will have an opportunity to learn and advance in your career as this group is forward thinking and fully supportive of development. We understand the meaning of team and are looking for someone who wants to be a part of something bigger and a driving force in changing the lives of cancer patients.</p><div><br>
THE OPPORTUNITY</div><div></div><p>
You, as a Facilities Technician, will support a rapidly growing research and development lab and office facilities and assist with a cGMP building. You are a successful candidate who possesses experience in maintaining building-related equipment and R&amp;D lab support activities.</p><p>
In this role, you are:</p><ul><li>
Supporting daily operations and maintenance of Genentech Facilities, managing building utilities such as HVAC, compressed air, house vacuum systems, microbulk CO2 tanks, and access control systems.</li><li>
Analyzing work orders efficiently, suggesting corrective actions, and addressing alarms from the Building Management System to minimize operational impacts.</li><li>
Liaising with and managing service providers for regular service visits and emergency calls outside normal working hours, ensuring seamless support and functionality.</li><li>
Performing scheduled maintenance rounds, managing inventory of parts and supplies for repairs, and ordering materials as needed while maintaining related documentation and logs.</li><li>
Monitoring and performing repairs on building electrical, plumbing, heating, ventilation, and cooling systems while assisting licensed personnel in specialized maintenance tasks.</li><li>
Preparing job estimates for customers with detailed time and materials cost calculations and performing quality inspections on completed work to ensure standards are met.</li><li>
Developing and maintaining detailed records and logs for equipment maintenance, work orders (WO), and training requirements while adhering to standard operating procedures (SOPs).</li><li>
Promoting continuous workplace safety, environmental best practices, and providing excellent customer support and service to internal and external stakeholders.</li></ul><p></p><div><br>
WHO YOU ARE</div><ul><li>
You hold a High School diploma or equivalent. Formal education in a related technical or engineering discipline or related military training/experience is desirable.</li><li>
Minimum of four (4) years of related experience and/or training. Your experience includes using the Siemens Desigo Building Management system or similar systems.</li><li>
Intermediate skills with Microsoft Office Suite and Outlook.<br>
</li></ul><div>
BEHAVIORS, COMPETENCIES, AND QUALITIES OF THE IDEAL APPLICANT.</div><div></div><ul><li>
You comprehend and interpret instructions, short correspondence, and memos and ask clarifying questions to ensure understanding.</li><li>
You possess communication skills with the ability to write routine reports and correspondence. You respond to common inquiries or complaints from clients, co-workers, and/or supervisors; you effectively present information to internal departments and/or large groups of employees.</li><li>
Problem solving in standard situations using basic analytical skills.</li></ul><p></p><p>
Relocation Benefits are not offered for this job posting.</p><p></p><p><br>
The expected salary range for this position based on the primary San Diego, California, is 59,800.00 - 111,000.00 USD. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.</p><p>
Benefits</p><p></p><p>
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.</p><p></p><p>
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.</p></div><p></p>
<div><div>JOB FACTS
</div><div><div><ul><div><b>Job Sub Category</b><b>
</b><p>Facilities
</p></div><div><b>Schedule</b><b>
</b><p>Full time
</p></div><div><b>Job Type</b><b>
</b><p>Regular
</p></div><div><b>Posted Date</b><b>
</b><p>Mar 12th 2026
</p></div><div><b>Job ID</b><b>
</b><p>202603-105490</p></div></ul></div></div></div></div><p></p>

Facilities Technican

<div><div><div>THE POSITION</div><div>
 THE OPPORTUNITY</div><p></p><p>
As a Data Scientist you will have a strong foundation in machine learning (ML), data science, and software engineering. You will have practical experience in building and deploying ML models and developing AI agents, particularly for tasks involving unstructured/structured data and workflow automation.</p><p></p><p>
As a Data Scientist you will have a strong foundation in machine learning (ML), data science, and software engineering. You will have practical experience in building and deploying ML models and developing AI agents, particularly for tasks involving unstructured/structured data and workflow automation.</p><p></p><p>
Key Responsibilities:</p><ul><li><p>
Machine Learning and Deep Learning: The candidate must be proficient in a wide range of ML algorithms, from traditional models like linear regression and decision trees to more advanced deep learning architectures such as Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs). They should understand the principles behind model training, validation, and hyperparameter tuning.</p></li><li><p>
Natural Language Processing (NLP): For extracting information from unstructured text, strong NLP skills are essential. Look for experience with techniques like tokenization, sentiment analysis, named entity recognition, topic modeling, and using pre-trained language models like BERT, GPT, or others from the Hugging Face ecosystem.</p></li><li><p>
Data Handling and Feature Engineering: They should be adept at working with various data formats and have experience in data cleaning, preprocessing, and transforming raw data into useful features for ML models. This includes handling missing values, encoding categorical data, and scaling numerical features.</p></li><li><p>
Programming and MLOps: Proficiency in Python is a must, along with a solid understanding of key libraries like Scikit-learn, Pandas, TensorFlow, and PyTorch. Experience with MLOps (Machine Learning Operations) practices, including model versioning, monitoring, and deployment on cloud platforms (AWS, Azure, or GCP), is crucial for building and maintaining robust solutions.</p></li><li><p>
AI Agent Architectures: Look for a candidate who understands the components of an AI agent, including a Large Language Model (LLM) as the brain, tools for specific tasks, and a logical structure for decision-making.</p></li><li><p>
Workflow Automation: The candidate should have practical experience in designing and implementing automated workflows. This involves integrating AI agents and ML models into existing business processes. They should be able to identify bottlenecks, map out a solution, and build the necessary connectors or APIs to execute tasks automatically.</p></li><li><p>
Unstructured Data: The candidate needs to demonstrate expertise in handling various forms of unstructured data, including text, images, and audio. This involves building pipelines to ingest, process, and analyze this data to extract meaningful insights or trigger actions.</p></li></ul><p></p><p>
Who you are</p><ul><li><p>
Problem-Solving: The ability to break down complex business problems into manageable, data-driven solutions is key. They should be able to think critically and creatively to solve real-world challenges.</p></li><li><p>
Communication: A great candidate can clearly articulate technical concepts to non-technical stakeholders, explaining the &quot;why&quot; and &quot;how&quot; of their solutions. This is vital for collaborating with different teams and ensuring the project meets business goals.</p></li><li><p>
Business Acumen: The best candidates understand the business context of their work. They should be able to connect their technical solutions directly to a positive impact on the company's bottom line or operational efficiency.</p></li></ul><p></p><p><b>
Education &amp; Academic Background</b></p><ul><li><p>
Minimum Requirement: A Bachelor&rsquo;s degree in a highly quantitative field (Computer Science, Data Science or related field).</p></li><li><p>
Preferred: A Master&rsquo;s in a specialized domain such as Machine Learning, Computational Statistics, Operations Research, or a related quantitative discipline.</p></li></ul><ul><li><p>
Proven Track Record: At least 7 years of professional experience in data science, with a clear history of taking AI applications from conceptualization to production environments.</p></li><li><p>
Data Handling: Expertise in handling unstructured data</p></li><li><p>
Advanced ML Expertise: Experience with supervised/unsupervised learning, deep learning (CNNs, Transformers), and reinforcement learning; proficiency in building agentic workflows, including RAG integration and LLM orchestration</p></li><li><p>
Data Infrastructure: Expertise in SQL and experience working with cloud platforms (AWS, GCP, or Azure)</p></li><li><p>
Large Language Model expertise required</p></li><li><p>
Experience with Diagnostics and/or Pharmaceutical data is a plus</p></li></ul><p></p><p>
Pleasanton location (where the team resides) is highly preferred. The position can be remote for exceptional candidates.</p><p></p><p>
Relocation benefits are not available for this posting
</p><p></p><p>The expected salary range for this position based on the primary location of California is $127,200 - $236,200.00. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
</p><p>Benefits</p><p></p><p>
#LI-PK1</p><p></p><p>
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.</p><p></p><p>
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.</p></div><p></p>
<div><div>JOB FACTS
</div><div><div><ul><div><b>Job Sub Category</b><b>
</b><p>Computational Biology
</p></div><div><b>Schedule</b><b>
</b><p>Full time
</p></div><div><b>Job Type</b><b>
</b><p>Regular
</p></div><div><b>Posted Date</b><b>
</b><p>Mar 10th 2026
</p></div><div><b>Job ID</b><b>
</b><p>202603-106081</p></div></ul></div></div></div></div><p></p>

Data Scientist

<div><h3 class="jobSectionHeader"><b>The Position</b></h3><h3 class="jobSectionHeader"><b>
 </b><b>The Opportunity</b></h3><p></p><p>
As a Data Scientist you will have a strong foundation in machine learning (ML), data science, and software engineering. You will have practical experience in building and deploying ML models and developing AI agents, particularly for tasks involving unstructured/structured data and workflow automation.</p><p></p><p>
As a Data Scientist you will have a strong foundation in machine learning (ML), data science, and software engineering. You will have practical experience in building and deploying ML models and developing AI agents, particularly for tasks involving unstructured/structured data and workflow automation.</p><p></p><p>
Key Responsibilities:</p><ul><li><p>
Machine Learning and Deep Learning: The candidate must be proficient in a wide range of ML algorithms, from traditional models like linear regression and decision trees to more advanced deep learning architectures such as Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs). They should understand the principles behind model training, validation, and hyperparameter tuning.</p></li><li><p>
Natural Language Processing (NLP): For extracting information from unstructured text, strong NLP skills are essential. Look for experience with techniques like tokenization, sentiment analysis, named entity recognition, topic modeling, and using pre-trained language models like BERT, GPT, or others from the Hugging Face ecosystem.</p></li><li><p>
Data Handling and Feature Engineering: They should be adept at working with various data formats and have experience in data cleaning, preprocessing, and transforming raw data into useful features for ML models. This includes handling missing values, encoding categorical data, and scaling numerical features.</p></li><li><p>
Programming and MLOps: Proficiency in Python is a must, along with a solid understanding of key libraries like Scikit-learn, Pandas, TensorFlow, and PyTorch. Experience with MLOps (Machine Learning Operations) practices, including model versioning, monitoring, and deployment on cloud platforms (AWS, Azure, or GCP), is crucial for building and maintaining robust solutions.</p></li><li><p>
AI Agent Architectures: Look for a candidate who understands the components of an AI agent, including a Large Language Model (LLM) as the brain, tools for specific tasks, and a logical structure for decision-making.</p></li><li><p>
Workflow Automation: The candidate should have practical experience in designing and implementing automated workflows. This involves integrating AI agents and ML models into existing business processes. They should be able to identify bottlenecks, map out a solution, and build the necessary connectors or APIs to execute tasks automatically.</p></li><li><p>
Unstructured Data: The candidate needs to demonstrate expertise in handling various forms of unstructured data, including text, images, and audio. This involves building pipelines to ingest, process, and analyze this data to extract meaningful insights or trigger actions.</p></li></ul><p></p><p>
Who you are</p><ul><li><p>
Problem-Solving: The ability to break down complex business problems into manageable, data-driven solutions is key. They should be able to think critically and creatively to solve real-world challenges.</p></li><li><p>
Communication: A great candidate can clearly articulate technical concepts to non-technical stakeholders, explaining the &quot;why&quot; and &quot;how&quot; of their solutions. This is vital for collaborating with different teams and ensuring the project meets business goals.</p></li><li><p>
Business Acumen: The best candidates understand the business context of their work. They should be able to connect their technical solutions directly to a positive impact on the company's bottom line or operational efficiency.</p></li></ul><p></p><p><b>
Education &amp; Academic Background</b></p><ul><li><p>
Minimum Requirement: A Bachelor&rsquo;s degree in a highly quantitative field (Computer Science, Data Science or related field).</p></li><li><p>
Preferred: A Master&rsquo;s in a specialized domain such as Machine Learning, Computational Statistics, Operations Research, or a related quantitative discipline.</p></li></ul><ul><li><p>
Proven Track Record: At least 7 years of professional experience in data science, with a clear history of taking AI applications from conceptualization to production environments.</p></li><li><p>
Data Handling: Expertise in handling unstructured data</p></li><li><p>
Advanced ML Expertise: Experience with supervised/unsupervised learning, deep learning (CNNs, Transformers), and reinforcement learning; proficiency in building agentic workflows, including RAG integration and LLM orchestration</p></li><li><p>
Data Infrastructure: Expertise in SQL and experience working with cloud platforms (AWS, GCP, or Azure)</p></li><li><p>
Large Language Model expertise required</p></li><li><p>
Experience with Diagnostics and/or Pharmaceutical data is a plus</p></li></ul><p></p><p>
Pleasanton location (where the team resides) is highly preferred. The position can be remote for exceptional candidates.</p><p></p><p>
Relocation benefits are not available for this posting
</p><p></p><p>The expected salary range for this position based on the primary location of California is $127,200 - $236,200.00. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
</p><p><b>Benefits</b></p><p></p><p>
#LI-PK1</p><p></p><p>
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.</p><p></p><p>
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.</p></div><p></p>

<div><div><div>THE POSITION</div><p><b>
2026 Summer Intern - Public Affairs &amp; Access: Patient Strategy</b></p><p></p><p><b>
Department Summary</b></p><p>
Public Affairs &amp; Access is a multi-disciplinary organization that includes Access Solutions &amp; Patient Support; Channel &amp; Contract Management; Corporate Communications; External Affairs; Patient Strategy; Policy, Evidence, &amp; Access Strategy; and Strategic Business Operations. Our mission is to drive positive change in the healthcare system so that every patient can access our science. We lead the development of meaningful partnerships, forward-looking pricing, contracting and distribution strategies, and proactive policy solutions that advance a more equitable and hopeful future for all of those who need our therapies.</p><p></p><p><b>
This position is based in South San Francisco, CA, On-Site.</b></p><p></p><p><b>
The Opportunity</b></p><p>
Patient Strategy is looking for an intern to help evolve the design and execution in one of the key workstreams, digital first patient experience. We anticipate that the intern will be working closely with the team performing data analysis to assess feasibility of predictive use cases and AI agents to support the future state patient capabilities.</p><ul><li><p>
Working with the business users to ensure use cases documented and reflected in design</p></li><li><p>
Partnering with Activation and tech teams to design and test AI agents to support human agent workflow</p></li><li><p>
Develop recommendations for patient strategy roadmapping in collaboration with business owners and leads</p></li></ul><p></p><p><b>
Program Highlights</b></p><ul><li><p>
 Intensive 12-weeks , full-time (40 hours per week) paid internship.</p></li><li><p>
Program start dates are in May/June (Summer)</p></li><li><p>
A stipend, based on location, will be provided to help alleviate costs associated with the internship.</p></li><li><p>
Ownership of challenging and impactful business-critical projects.</p></li><li><p>
Work with some of the most talented people in the biotechnology industry.</p></li></ul><p></p><p><b>
Who You Are (Requirements)</b></p><p><b>
Required Education: You meet one of the following criteria:</b></p><ul><li><p>
Must be pursuing a Bachelor's degree
</p></li><li><p>Must have attained a Bachelor's degree (recent graduates not currently enrolled in a grad program)</p></li></ul><p></p><p><b>
Required majors: </b>Biomedical/Health Informatics, Data Science, Computer Science, Business Analytics or Biomedical Engineering.</p><p></p><p><b>
Required Skills:</b></p><ul><li><p>
Excellent communication, collaboration, and interpersonal skills.</p></li><li><p>
Complements our culture and the standards that guide our daily behavior &amp; decisions: Integrity, Courage, and Passion</p></li><li><p>
Analytical Proficiency, AI/ML knowledge</p></li><li><p>
Workflow design: Ability to map complex human-computer workflows and document use cases clearly.</p></li></ul><p></p><p><b>
Relocation benefits are not available for this job posting.</b></p><p></p><p>
The expected salary range for this position based on the primary location of South San Francisco, CA is $24- $33/hour. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. This position also qualifies for paid holiday time off benefits.</p><p></p><p>
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.</p><p></p><p>
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.</p></div><p></p>
<div><div>JOB FACTS
</div><div><div><ul><div><b>Job Sub Category</b><b>
</b><p>Internships &amp; Co-ops
</p></div><div><b>Schedule</b><b>
</b><p>Full time
</p></div><div><b>Job Type</b><b>
</b><p>Temporary (Fixed Term)
</p></div><div><b>Posted Date</b><b>
</b><p>Mar 10th 2026
</p></div><div><b>Job ID</b><b>
</b><p>202603-106291</p></div></ul></div></div></div></div><p></p>

2026 Summer Intern - Public Affairs & Access: Patient Strategy

Join Genentech and explore 8   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.

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Principal Bioinformatics Scientist

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Data Scientist

2026 Summer Intern - Public Affairs & Access: Patient Strategy