Director, Commercial Data Science & AI/ML - Vaccines
Listed on 2026-03-02
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IT/Tech
AI Engineer, Data Science Manager
Site Name: Durham Blackwell Street, USA - Pennsylvania - Philadelphia
Posted Date: Feb 25 2026
You will lead high-impact data science and AI/ML initiatives that drive commercial strategy across our Vaccines portfolio, spanning adult immunization programs, pediatric vaccine schedules, and public health partnerships. Working closely with commercial, market access, medical, and public health teams, you will transform complex vaccines data into actionable insights that optimize immunization coverage, shape go‑to‑market strategies and improve patient access.
We value strategic thinkers who understand the unique intersection of public health dynamics and commercial imperatives in the vaccines space - and who inspire and grow the teams around them. This role offers significant visibility, leadership influence, and the opportunity to align with GSK's mission of uniting science, technology, and talent to get ahead of disease together.
ResponsibilitiesThis role will provide YOU the opportunity to lead key activities to progress YOUR career. These responsibilities include some of the following:
- Lead the design, development, and delivery of advanced predictive models and AI/ML solutions that support commercial decisions across the Vaccines portfolio, including launch readiness, immunization coverage gap identification, promotional response modeling, and vaccination program performance analytics.
- Partner with Commercial, Market Access, Public Health, Medical Affairs, and Marketing teams to translate business and public health questions into analytical plans with measurable impact on vaccination rates, revenue, and patient outcomes.
- Build, validate, and operationalize end‑to‑end machine learning workflows - from data ingestion and feature engineering through model deployment, monitoring, and performance tracking - leveraging vaccines commercial data assets such as claims, immunization registries (IIS), EMR, specialty pharmacy, and public health surveillance data.
- Develop and apply AI/ML methods to vaccines‑specific commercial challenges, including demand forecasting and inventory optimization, geographic coverage gap analysis, HCP and pharmacist targeting and segmentation, pediatric schedule adherence modeling, and payer and public health program dynamics.
- Apply data science to adult immunization priorities, including identifying under‑vaccinated adult populations, optimizing seasonal and non‑seasonal vaccine campaigns, modeling public health partnership impact, and supporting reimbursement strategy for recommended adult vaccines.
- Lead market access analytics specific to vaccines, including payer mix modeling, formulary and ACIP recommendation impact analysis, government contract and VFC program analytics, and net price optimization across commercial and public health channels.
- Lead and mentor a team of data scientists and analysts, setting technical standards, fostering reproducible and responsible AI practices, and building a high‑performing, collaborative team culture.
- Communicate complex analytical findings clearly and persuasively to senior commercial and public health leaders, enabling evidence‑based decisions on strategy, investment, and resource allocation in the vaccines business unit.
- Champion the adoption of modern AI/ML tools, GenAI applications, and scalable data infrastructure to continuously elevate the commercial analytics capability across the vaccines organization.
- Collaborate with IT, Data Engineering, and external vendors to ensure data quality, governance, and compliance with relevant privacy and regulatory standards (e.g., HIPAA, GDPR, FDA promotional guidelines).
This role is hybrid with an expectation to be on‑site as needed for collaboration and team interactions. Exact hybrid schedule will be discussed during the hiring process.
Basic QualificationsWe are seeking professionals with the following required skills and qualifications to help us achieve our goals:
- Advanced degree (Master's or PhD) in Data Science, Computer Science, Statistics, Applied Mathematics, Epidemiology, or a related quantitative field.
- 10+ years of hands‑on experience in applied data science, machine…
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