Description
Join GSK as an Associate Director, Global Epidemiology and Real-World Evidence, and lead epidemiology efforts that shape evidence across development and lifecycle activities.
You will work with clinical development, safety, regulatory, outcomes, and commercial partners to design and deliver epidemiologic studies using real-world data, registries, and other sources.
This role offers growth, visible impact on decisions that matter for patients, and a chance to help unite science, technology, and talent to get ahead of disease together.
Responsibilities:
- Lead epidemiology programs for one or more assets or disease areas, creating strategy and timelines with cross-functional partners.
- Design, oversee, and deliver observational and database studies using real-world data, registries, and linked sources.
- Provide timely scientific advice on study design, data needs, analysis plans, and interpretation of results to asset teams.
- Manage external partners, vendors, budgets, and timelines to ensure high-quality, on-time study delivery.
- Prepare regulatory documents, technical reports, and publications that clearly communicate study findings.
- Build capability by sharing methods, best practice, and learnings across teams.
Basic Qualifications & Skills:
- Master’s degree in Epidemiology, Public Health, Biostatistics, or a related quantitative discipline. Doctoral degree acceptable.
- Minimum 5 years of applied epidemiology, pharmacoepidemiology, outcomes research, or related experience.
- Proven experience designing and delivering observational studies or healthcare database analyses.
- Experience working in a matrix environment and collaborating with clinical, safety, regulatory, or outcomes teams.
Preferred Qualifications & Skills:
- PhD in Epidemiology, Public Health, Biostatistics, or a related field.
- Experience in industry supporting regulatory submissions, post-authorization commitments, or safety assessments.
- Familiarity with multiple real-world data types (electronic health records, claims, registries) and data linkage.
- Knowledge of advanced quantitative methods such as causal inference, target trial emulation, or propensity-based approaches.
- Record of peer-reviewed publications and presentations at scientific meetings.
- Experience engaging with regulators, advisory boards, or external scientific networks.
- Strong written and verbal communication skills, able to explain methods to technical and non-technical audiences.
Benefits:
- Competitive salary
- Annual bonus based on company performance
- Healthcare and wellbeing programs
- Pension plan membership
- Shares and savings programme
- Hybrid working environment with a blend of remote and onsite collaboration