Director, Commercial Data Science & AI/ML — Vaccines

J ob Profile: 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. Responsibilities: This 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). Why You? Working Model: 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 Qualifications: We 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 learning, or statistical modeling, with at least 3 years in a pharmaceutical or biotech commercial setting, preferably with vaccines or immunology exposure.Demonstrated experience working with vaccines or commercial pharma data assets, including IQVIA (e.g., LAAD, DDD, Xponent), Optum (e.g., Clinformatics, claims data), Symphony Health, or immunization information systems (IIS/registries), with the ability to assess data quality, coverage, and appropriate use cases for each.Strong programming skills in Python or R, experience with relevant ML libraries (e.g., scikit-learn, TensorFlow, PyTorch, XGBoost), and demonstrated ability to leverage AI-powered development tools (e.g., GitHub Copilot, Cursor, or LLM-based coding agents) to accelerate and enhance programming workflows.Experience deploying models and building end-to-end ML pipelines using cloud platforms (AWS, Azure, or GCP) or containerized services.Proven ability to lead complex, cross-functional commercial analytics projects and influence senior stakeholders in a matrixed organization spanning both commercial and public health priorities.Excellent written and verbal communication skills with the ability to translate complex analytical outputs into clear commercial and public health recommendations for vaccines business leaders. Preferred Qualifications: If you have the following characteristics, it would be a plus:PhD in a quantitative, life science, epidemiology, health economics, or immunology-related discipline.Deep therapeutic area expertise in vaccines, with working knowledge of both adult immunization programs (e.g., RSV, flu, pneumococcal, shingles) and pediatric vaccine schedules (e.g., combination vaccines, ACIP-recommended schedules).Experience modeling vaccination coverage dynamics, including geographic and demographic under-vaccination analysis, seasonal demand fluctuation, and the impact of public health campaigns or ACIP recommendation changes on commercial performance.Familiarity with NLP or large language models applied to vaccines commercial use cases, such as HCP sentiment mining, public health policy monitoring, or patient and provider communication optimization.Experience with MLOps practices including feature stores, model governance frameworks, and automated monitoring in a regulated pharmaceutical environment.Track record of building and developing high-performing data science teams in a global, commercial pharma environment.Knowledge of vaccines-specific compliance frameworks governing commercial data use, including HIPAA, PhRMA Code, FDA promotional guidelines, and CDC/public health data use agreements.Familiarity with government vaccine programs such as Vaccines for Children (VFC), 317 program, and federal contract dynamics and their analytical implications for commercial strategy.#GSK-LI 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 – to impact health at scale.People and patients around the world count on the medicines and vaccines we make, so we’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 - View email address on click.appcast.io 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’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 #J-18808-Ljbffr GlaxoSmithKline