data sciences director

<div>Site Name: USA - Pennsylvania - Upper Providence 
Posted Date: Mar 19 2026 
Are you looking for an opportunity to lead a Translational Data Science team within Oncology Data Science (ODS) in GSK&rsquo;s Translational Development and Sciences department and aid in the discovery and development of new cancer medicines? If so, this is the job for you.
As a Physician Director of the ODS Translational team in the Oncology Data Science you will lead, plan and coordinate applied AI/ML and computational biology projects in partnership with discovery, translational and clinical functions across GSK. You will work in an inter-disciplinary environment, frequently interfacing with wet-lab and translational scientists, clinicians, statisticians, and AI/ML colleagues among others. Your work will have application across Oncology tumor strategy areas and across all stages of drug discovery and clinical development to inform target and biomarker discovery, disease and mechanistic understanding, indication and patient subgroup selection, and treatment response optimization using precision medicine approaches.
GSK&rsquo;s Oncology portfolio has seen significant growth in the past years. In the late-stage setting, we have seen numerous approvals and positive Phase 3 readouts. We also have several early-stage programs aiming to enter the clinic over the years to come. Oncology is now posed to be a significant growth driver for GSK, allowing us to be ambitious for patients and continue investment into early drug discovery. To achieve these aims requires leadership in computational biology to derive decision making insights from complex oncology genetic and genomic datasets.
This role will provide you the opportunity to lead key activities to progress your career. These responsibilities include some of the following:<ul><li>
Lead and build a growing team of Translational Data Scientists to support and innovate the Oncology portfolio pipeline</li><li>
Leverage your clinical training and experience to translate complex computational and molecular insights into clinically meaningful hypotheses, study designs, and biomarker strategies that directly inform patient care and oncology clinical development</li><li>
Contribute scientific expertise and design to multiple drug discovery or development efforts across oncology</li><li>
Act as a competent and recognized expert in developing and critiquing the scientific validity of research/development initiatives to drive the development and delivery of long-term scientific strategy in Oncology Genomics</li><li>
Individually contribute with analyses and integration of complex cancer datasets. This includes analysis of histopathology imaging data, gene &amp; protein expression (bulk + single cell + spatial), somatic mutations, copy number alterations, and structural variants</li><li>
Apply statistical methods and AI/machine learning algorithms to identify patterns in data, predict drug response, and discover potential biomarkers. Critically evaluate results. Conduct survival analysis to assess the impact of various factors on patient outcomes</li><li>
Lead the development and use of bioinformatics pipelines</li><li>
Serve as a recognized leader in driving technological foresight within specific scientific function or directing content of programs</li><li>
Lead and influence the outcome of multidisciplinary meetings including partners in therapeutic research units, translational and clinical development teams.</li><li>
Communicate complex scientific findings clearly to both technical and non-technical audiences.</li><li>
Maintain current knowledge of advancements in cancer research and computational biology.</li><li>
Effectively communicate findings to appropriate senior GSK internal groups</li><li>
Utilize your track record of effecting substantial change by applying interdisciplinary knowledge of multiple disciplines and therapeutic areas that impact discovery and/or development in oncology</li><li>
Apply scientific skills to influence experimental design and data interpretation that impacts across drug discovery/development</li><li>
Define and execute a coordinated and highly influential scientific strategy</li><li>
Accountable for decisions affecting major product development activities or business directives and their implementation and for recommending allocation of resources with key matrix partners</li></ul><h2 class="jobSectionHeader">
Why you?</h2><h2 class="jobSectionHeader">
Basic Qualifications: 
</h2> 
We are looking for professionals with these required skills to achieve our goals:<ul><li>
medical degree</li><li>
Completion of a clinical residency program leading to board qualification or certification in internal medicine, pathology, pediatrics is required</li><li>
10 years plus academic or industry experience in Computational Biology, Bioinformatics, or Translational/Clinical AI with focus on Oncology</li><li>
5 years of leadership or matrix leadership experience in Computational Biology, Applied AI/ML, Cancer Biology or a related field</li></ul><h2 class="jobSectionHeader">
Preferred Qualifications:
</h2>If you have the following characteristics, it would be a plus:<ul><li>
A medical degree with PhD is preferred</li><li>
Leadership with line management experience in Data Science in Oncology Research and Development in Industry, Biotech or Academic settings</li><li>
Strong understanding of cancer biology and the drug discovery process.</li><li>
Proficiency in Python or R, with experience building bioinformatic workflows and documenting code with version control.</li><li>
Experience with multimodal foundation models for preclinical and clinical application in oncology</li><li>
Experience working with large-scale oncology datasets (e.g., RWE, TCGA, CPTAC and multiomic data integration</li><li>
Understanding of statistical methods, machine learning and/or AIML algorithms, and survival analysis techniques.</li><li>
Expertise and experience in integrating translational and real-world clinical and &lsquo;omics data with preclinical data for target discovery, biomarker and patient selection strategies</li><li>
A strong publication track record and internationally recognized research experience</li><li>
Knowledge of multiple disciplines and therapeutic areas that impact discovery/ development policy, processes or guidelines in the pharmaceutical industry</li><li>
Demonstrated ability to coordinate outputs from several expertise areas to determine strategy</li><li>
Proven track record of effecting substantial change</li><li>
Ability to make decisions</li><li>
Expert in integration of preclinical development disciplines and commercial strategy into a full-scale product development activity</li><li>
Ability to influence others</li></ul> 
Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees.
Why GSK?
Uniting science, technology and talent to get ahead of disease together.
GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases &ndash; to impact health at scale.
People and patients around the world count on the medicines and vaccines we make, so we&rsquo;re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.
If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at - usrecruitment.adjustments@gsk.com.
GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.
Important notice to Employment businesses/ Agencies
GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.
Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK&rsquo;s compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at https://openpaymentsdata.cms.gov/</div>

Physician Director Oncology Data Science - Translational Science

Biohub

<div>
 Biohub is a 501(c)(3) biomedical research organization building the first large-scale scientific initiative combining frontier AI with frontier biology to solve disease. We build the technology to help scientists around the world use AI-powered biology to study how cells operate, organize, and work as part of systems to understand why disease happens and how to correct it. With our compute capacity, AI research and engineering, and state-of-the-art technology for measuring, imaging, and programming biology, we are enabling scientists worldwide to use AI-powered biology to advance our understanding of human health.
 
 
 The Team
 
 
 Biohub is a 501(c)(3) biomedical research organization building the first large-scale scientific initiative combining frontier AI with frontier biology to solve disease. We build the technology to help scientists around the world use AI-powered biology to study how cells operate, organize, and work as part of systems to understand why disease happens and how to correct it. With our compute capacity, AI research and engineering, and state-of-the-art technology for measuring, imaging, and programming biology, we are enabling scientists worldwide to use AI-powered biology to advance our understanding of human health.
 
 
 Our AI research team sits at the heart of our mission to unlock new dimensions of biological understanding. You will leverage state-of-the-art AI to accelerate discovery and drive transformative insights in biology &mdash; developing novel AI models purpose-built for biological research, engineering robust systems that enable breakthrough science at unprecedented scale, and translating these advances into practical tools that empower researchers worldwide.
 
 
 The Opportunity
 
 
 This role will lead Data Engineering, which builds the infrastructure that makes our biological foundation models possible&mdash;ingesting data from public repositories, merging it with large-scale internal data generation projects, transforming heterogeneous biological formats into AI-ready datasets, and delivering petabytes of training data to researchers pushing the boundaries of what's possible in biological AI. You'll set technical direction, hire, grow and develop engineers, and ensure we deliver reliable, scalable systems that keep pace with our ambitions. The software your team builds will directly shape what our models can learn.
 
 
 This is a player-coach role. You'll spend meaningful time on technical leadership&mdash;architecture decisions, code review, unblocking hard problems&mdash;while also building and managing a high-performing team. We're a small organization with significant resources and long time horizons that values small, high functioning teams. We use AI tools aggressively, care deeply about code quality and operational reliability, and want leaders who understand why biology matters.
 
 
 If you want to build and lead a team at the intersection of large-scale infrastructure and frontier science, with real autonomy and the chance to shape something genuinely new, we'd like to talk.
 
 
 What You'll Do
 
 
 <ul>
 <li>
 Lead a team of data engineers, setting technical direction and ensuring delivery of reliable, scalable data infrastructure
 </li>
 <li>
 Drive architecture decisions for petabyte-scale pipelines deployed across multiple compute environments (cloud, on-prem) that ingest, transform, and deliver genomic and imaging data for model training
 </li>
 <li>
 Build a culture of operational excellence&mdash;99%+ pipeline reliability, strong observability, and systems that scale without manual intervention
 </li>
 <li>
 Recruit, develop, and retain exceptional engineers who combine scale infrastructure experience with biological intuition
 </li>
 <li>
 Partner with AI Research, Data Science, and Scientific Data Strategy to translate model and data requirements into engineering priorities
 
 
 </li>
 </ul>
 What You'll Bring
 
 
 <ul>
 <li>
 10+ years of experience leading data engineering or infrastructure teams through periods of growth and technical complexity, with 5 or more as a people manager.
 </li>
 <li>
 Track record of building AI training data pipelines at petabyte scale with high reliability requirements
 </li>
 <li>
 Strong technical foundations&mdash;you can go deep on architecture, review code, and unblock hard problems
 </li>
 <li>
 Experience hiring and developing engineers; demonstrated ability to attract high-tier talent in a competitive market
 </li>
 <li>
 Ability to create and nurture high-performance, high-ownership culture
 </li>
 <li>
 Comfort with ambiguity; history of setting direction when requirements are evolving
 </li>
 <li>
 Nice to have: experience with biology, bioinformatics, or life sciences data
 
 
 </li>
 </ul>
 
 Compensation
 
 
 
 The Redwood City, CA base pay range for this role is $323,000 - $444,400. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process.
 
 
 
 Better Together
 
 
 
 As we grow, we&rsquo;re excited to strengthen in-person connections and cultivate a collaborative, team-oriented environment. This role is a hybrid position requiring you to be onsite for at least 60% of the working month, approximately 3 days a week, with specific in-office days determined by the team&rsquo;s manager. The exact schedule will be at the hiring manager's discretion and communicated during the interview process.
 
 
 
 Benefits For The Whole You
 
 
 
 We&rsquo;re thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible.
 
 
 <ul>
 <li>
 Provides a generous employer match on employee 401(k) contributions to support planning for the future.
 </li>
 <li>
 Paid time off to volunteer at an organization of your choice.
 </li>
 <li>
 Funding for select family-forming benefits.
 </li>
 <li>
 Relocation support for employees who need assistance moving
 
 
 </li>
 </ul>
 If you&rsquo;re interested in a role but your previous experience doesn&rsquo;t perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role.
 
 
</div>

Director, Data Engineering

NCRI

<div>We are seeking a Director of Data Science &amp; AI Enablement to lead the strategy, implementation, and adoption of Artificial Intelligence across the organization. This leadership role will drive innovation and operational excellence by enabling data-driven decision-making, advancing AI capabilities, and delivering hyper-personalized financial services for customers.
The Director will oversee the AI strategy across four key pillars:<ul><li>
AI for Everyone: Improving employee productivity through AI tools</li><li>
AI for Citizen Innovators: Enabling teams to build custom automations</li><li>
AI for Builders: Accelerating engineering through AI-powered development</li><li>
AI for Customers: Delivering AI-powered products and personalized customer experiences</li></ul>
This role leads the Data Science &amp; AI Enablement team, manages the AI model lifecycle, and partners with business and technology leaders to embed AI capabilities across the organization.<h2 class="jobSectionHeader">
Key Responsibilities</h2><h3 class="jobSectionHeader">
AI Strategy &amp; Leadership</h3><ul><li>
Define and execute the enterprise AI strategy aligned with organizational goals.</li><li>
Lead the Data Science &amp; AI Enablement team, ensuring operational reliability of deployed AI and LLM models.</li><li>
Direct the full AI/ML lifecycle including model selection, fine-tuning, prompt engineering, RAG design, benchmarking, and evaluation.</li><li>
Establish and lead the AI Center of Excellence (COE) and AI governance frameworks.</li><li>
Partner with Enterprise Architecture, Cybersecurity, and Technology leadership to ensure compliance, security, and scalability of AI systems.</li></ul><h3 class="jobSectionHeader">
AI Innovation &amp; Business Impact</h3><ul><li>
Identify and deliver AI opportunities across business units to improve productivity, operations, and customer experience.</li><li>
Collaborate with product teams to develop AI-driven products and insights.</li><li>
Build advanced machine learning models leveraging large datasets (transactional, marketing, and behavioral data).</li><li>
Translate complex analytical insights into business strategies and measurable outcomes.</li></ul><h3 class="jobSectionHeader">
Cross-Functional Collaboration</h3><ul><li>
Work with engineering teams to productionize machine learning solutions.</li><li>
Partner with stakeholders across product, marketing, operations, customer support, and technology to solve business challenges with AI.</li><li>
Promote a data-driven culture through internal training, workshops, and thought leadership.</li></ul><h3 class="jobSectionHeader"> 
People Leadership</h3><ul><li>
Lead and mentor a high-performing data science and AI team.</li><li>
Align team goals with organizational strategy and forecast future resourcing needs.</li><li>
Foster professional growth and ensure knowledge sharing across teams.</li><li>
Remove operational blockers and enable teams with the tools and processes needed for success.</li></ul><h2 class="jobSectionHeader"> 
Qualifications</h2><ul><li>
Master&rsquo;s or PhD in Mathematics, Statistics, Computer Science, Actuarial Science, or related field</li><li>
Strong background in machine learning, statistics, probability, and algorithms</li><li>
Experience with Python, Scala, R, SQL and machine learning frameworks such as PyTorch, Keras, Scikit-learn, or SparkML</li><li>
Familiarity with cloud platforms (Google Cloud preferred, AWS, Azure)</li><li>
Experience with data visualization tools (Power BI or similar)</li><li>
Proven leadership experience managing data science or AI teams</li><li>
Experience in financial services, brokerage, or retail banking preferred</li><li>
Strong ability to communicate complex technical concepts to business stakeholders</li></ul></div>

Director/Manager, Data Science & AI Enablement

Mastercard

<div>Our Purpose
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we&rsquo;re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
Title and Summary
Director of Data Science (AdTech)
Overview: 
The Director of Data Science, Commerce Media provides technical and strategic leadership for all data science, machine learning, and advanced analytics initiatives supporting the Commerce Media platform. This role owns the vision, execution, and evolution of data-driven decisioning across advertising products, including modeling, targeting, optimization, measurement, experimentation, and AI-powered insights. 
 
This individual brings deep expertise in applied data science within the advertising ecosystem, a strong theoretical foundation in machine learning and statistical modeling, and a proven track record of leading cross-functional data science initiatives across engineering, product, business, and platform teams. The Director of Data Science translates complex business and marketplace problems into scalable, production-grade data science solutions that drive measurable impact. 
 
The Role: 
<ul><li>Own the data science and machine learning strategy for Commerce Media, ensuring alignment with business objectives, platform capabilities, and long-term technical direction.</li><li>Lead the design, development, and deployment of machine learning models and decisioning systems supporting advertising use cases such as targeting, bidding, ranking, forecasting, and attribution.</li><li>Serve as the technical authority for data science methodologies, modeling approaches, experimentation frameworks, and evaluation metrics.</li><li>Drive cross-team data science initiatives by partnering closely with Engineering, Product, Architecture, and Business teams to deliver end-to-end solutions from problem definition through production.</li><li>Translate ambiguous business problems into well-scoped analytical and modeling approaches without requiring step-by-step direction.</li><li>Establish and maintain best practices for the full model lifecycle, including feature engineering, training, validation, deployment, monitoring, and retraining.</li><li>Lead and evolve experimentation and measurement frameworks (e.g., A/B testing, causal inference, incrementality) to quantify business impact.</li><li>Champion AI-first development practices, responsibly integrating modern AI and ML tooling into data science workflows while maintaining rigor, interpretability, and governance.</li><li>Mentor and develop senior data scientists, setting a high bar for technical quality, business impact, and collaboration.</li><li>Communicate complex analytical findings and model outcomes clearly to non-technical stakeholders, including executives, product leaders, and commercial partners.</li><li>Partner with platform engineering to build scalable, reliable production ML systems operating in high-throughput, real-time environments.</li><li>Ensure data privacy, security, and ethical AI principles are embedded across all data science solutions.</li></ul> 
All About You: 
<ul><li>Deep expertise in applied data science and machine learning within advertising, ad tech, or media platforms.</li><li>A strong foundation in machine learning theory and statistical modeling, with the ability to apply theory pragmatically in production environments.</li><li>Proven leadership in driving complex, cross-functional initiatives that require alignment across engineering, product, and business stakeholders.</li><li>Strong judgment in balancing innovation with rigor, scalability, interpretability, and governance.</li><li>The ability to clearly communicate complex technical concepts and analytical insights to both technical and non-technical audiences.</li><li>A collaborative leadership style that emphasizes mentorship, shared ownership, and continuous improvement.</li><li>A strong sense of responsibility for data privacy, security, and ethical AI practices.</li><li>Experience in a senior or leadership roles, owning data science initiatives across multiple teams or domains.</li><li>Deep understanding of machine learning theory and practice, including:</li><li>Supervised and unsupervised learning</li><li>Probabilistic modeling and statistics</li><li>Optimization techniques</li><li>Model evaluation and bias considerations</li><li>Proven experience building and deploying production-grade ML systems, not limited to research or offline modeling.</li><li>Strong background in advertising data science, including areas such as audience modeling, bidding and optimization, campaign measurement, attribution, or real-time decisioning.</li><li>Demonstrated success leading cross-functional projects requiring close collaboration with engineering, product, and business teams.</li><li>Fluency in SQL and one or more data science programming languages (e.g., Python, R), with the ability to work effectively alongside production engineers.</li><li>Experience working with large-scale data platforms, such as cloud data warehouses and distributed processing frameworks.</li></ul>
Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.
Corporate Security Responsibility 
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:<ul><li>
Abide by Mastercard&rsquo;s security policies and practices;</li><li>
Ensure the confidentiality and integrity of the information being accessed;</li><li>
Report any suspected information security violation or breach, and</li><li>
Complete all periodic mandatory security trainings in accordance with Mastercard&rsquo;s guidelines.</li></ul>
In line with Mastercard&rsquo;s total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations.
Pay Ranges
Purchase, New York: $195,000 - $323,000 USD
Arlington, Virginia: $196,000 - $323,000 USD
Austin, Texas: $170,000 - $281,000 USD
Boston, Massachusetts: $196,000 - $323,000 USD
New York City, New York: $204,000 - $337,000 USD
O'Fallon, Missouri: $170,000 - $281,000 USD
Remote - New York: $170,000 - $281,000 USD
San Francisco, California: $204,000 - $337,000 USD
Job Posting Window
Posting windows may change based on the volume of applications received and business necessity. Candidates are encouraged to apply expeditiously.</div>

Director of Data Science (AdTech)

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Physician Director Oncology Data Science - Translational Science

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Director of Data Science (AdTech)

Director of Data Science (AdTech)

Director of Data Science (AdTech)

Director of Data Science (AdTech)