Director, Commercial Data Science & AI/ML — Vaccines

Responsibilities:
- Lead design, development, and delivery of advanced predictive models and AI/ML solutions for the Vaccines portfolio (launch readiness, coverage gap identification, promotional response modeling, performance analytics).
- Partner with Commercial, Market Access, Public Health, Medical Affairs, and Marketing to translate business/public health questions into analytical plans that improve vaccination rates, revenue, and patient outcomes.
- Build, validate, and operationalize end-to-end ML workflows (data ingestion, feature engineering, deployment, monitoring, performance tracking) using claims, immunization registries (IIS), EMR, specialty pharmacy, and surveillance data.
- Apply AI/ML to demand forecasting and inventory optimization; geographic coverage gap analysis; HCP/pharmacist targeting and segmentation; pediatric schedule adherence; payer and public health program dynamics.
- Apply data science to adult immunization priorities and reimbursement strategy for recommended adult vaccines.
- Lead vaccines market access analytics (payer mix, formulary and ACIP impact, VFC/government contract analytics, net price optimization).
- Lead and mentor data scientists/analysts; set technical standards and drive reproducible/responsible AI.
- Communicate insights to senior leaders; champion modern AI/ML, GenAI, and scalable data infrastructure; collaborate on data quality, governance, and privacy/regulatory compliance.

Basic Qualifications:
- Master’s or PhD in Data Science, CS, Statistics, Applied Mathematics, Epidemiology, or related field.
- 10+ years applied data science/ML/statistical modeling; 3+ years in pharma/biotech commercial (vaccines/immunology preferred).
- Experience with vaccines/commercial data assets (e.g., IQVIA, Optum, Symphony Health, IIS/registries) and data quality assessment.
- Strong Python/R; ML libraries (scikit-learn, TensorFlow, PyTorch, XGBoost); use AI-powered coding tools.
- Experience deploying models and building end-to-end ML pipelines on AWS/Azure/GCP or containers.
- Ability to lead cross-functional analytics and influence senior stakeholders; excellent communication skills.

Preferred Qualifications:
- PhD; deep vaccines therapeutic expertise (adult and pediatric/ACIP schedules).
- Experience modeling coverage dynamics; NLP/LLMs use cases; MLOps (feature stores, governance, monitoring).
- Track record building teams; vaccines compliance frameworks knowledge; familiarity with VFC/317 and federal contract analytics.

Application instructions:
- Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees.