Oncology RWE/Epi Scientist

Role Summary

The Senior Manager, RWE/Epi Scientist provides an opportunity for a collaborative epidemiologist to support real-world evidence and epidemiologic studies as part of Medical strategy across the drug development process. The role involves synthesizing literature and contributing to the design, conduct and reporting of global epidemiologic research studies, ensuring high-quality, timely deliverables, and developing internal and external partnerships to advance RWE/Epi initiatives.

Responsibilities

• Lead or support real-world evidence studies of disease epidemiology and effectiveness as part of the global Integrated Evidence Plan.
• Identify appropriate data resources, assess design options and data limitations, and design studies to address scientific questions.
• Collaborate with internal stakeholders to address asset team evidence needs and support regulatory submissions.
• Deliver rapid insights from real-world observational data and develop communication materials (presentations, manuscripts, data packages).
• Ensure quality, compliance, and management of research activities; participate in peer review of study protocols and reports.
• Document requests and track progress toward project completion and business metrics.

Qualifications

• Required: PhD in Epidemiology, Statistics/Biostatistics, Health Outcomes Research, Quantitative Methods, Public Health, Health Economics, or related field with a substantial quantitative component and at least 1 year of relevant experience; or MPH or another relevant Master’s with at least 5 years of relevant experience, including at least 1 year in the pharmaceutical, academic, or medical environment.
• Required: Demonstrated strong quantitative skills and methods expertise to generate rapid insights from real-world/observational data.
• Required: Strong technical writing and oral presentation skills with a track record of publishing in peer-reviewed journals and presenting at medical/scientific conferences.
• Required: Ability to convert complex analyses into meaningful insights with data visualization; ability to analyze complex structured and unstructured data from multiple real-world evidence sources.
• Required: Ability to work under pressure with autonomy and lead research projects in a matrixed environment.
• Required: Knowledge of the external regulatory environment for real-world evidence and awareness of developments in epidemiology, medicine, and technology (e.g., AI).

Skills

• Proficiency in rapid real-world data analytical platforms (preferred).
• Experience with real-world data sources such as EMR, claims, and surveys (preferred).
• Strong problem-solving, decision-making, and stakeholder influence abilities.
• Effective project management skills to manage multiple projects simultaneously.

Education

• PhD in Epidemiology, Statistics/Biostatistics, Health Outcomes Research, Quantitative Methods, Public Health, Health Economics, or related field with substantial quantitative component; or MPH/Master’s with relevant pharmaceutical/medical experience.

Additional Requirements

• Physical/Mental demands: lifting, sitting, standing, walking, bending; ability to perform mathematical calculations and complex data analysis.
• Work Location: Hybrid role requiring living within commuting distance and on-site presence average of 2.5 days per week or more as needed.