Epidemiologist (Real World Data/Claims Data/Literature Review/Outcomes Research)

This role will be 100% remote Length of assignment: Through end of 2026 MD with Mph and 10 yrs of exp will be considered • Deep understanding of epidemiology, real world data and claims needed • MD with Mph needed • Epidemiologist exp needed • Need 2 yrs exp minimum • 0-1 yrs exp • Demonstrated experience in managing studies or projects • Must have PhD/MD/PharmD degree • Real world data exp • Communicate very well with people who are not epidemiologists • PhD/MD/PharmD with experience in the field of epidemiology, outcomes research, or related discipline. • Good communication skills • Pharma industry exp is a plus and not a must have • Project management exp • Understanding of epidemiology methods and study design • Recent grads and new grads straight out of school will not be considered • Not Looking for HEOR exp • Pharm d with Mph needed • Will not review any claims data • No Programming skills needed Purpose: • The Epi Forecasting Senior Epidemiologist will serve as a key contributor within the Epidemiology Forecasting Center of Excellence (CoE). • In this contractor role, you will design and execute descriptive epidemiologic and pharmacoepidemiologic studies, characterize disease epidemiology, and provide actionable epidemiological insights to support Commercial and Business Strategy functions. • Your work will ensure high-quality, traceable, and impactful deliverables, supporting the Epidemiology Forecasting CoE’s mission to inform business development and strategic decision-making with robust data and expert analysis. Key Responsibilities: • Evaluate and synthesize epidemiology literature; present findings clearly in written and oral form. • Lead or collaborate on study development, including protocol creation and database analysis with claims and health record data. • Partner cross-functionally to gather information, perform literature reviews, and prepare clear, concise data summaries and recommendations. • Communicate study insights to epidemiology, commercial, and business partners, ensuring alignment of outputs with strategic needs. • Apply a broad range of epidemiology research techniques—focusing on descriptive data such as incidence, prevalence, mortality, real-world treatment patterns, and diagnosed/drug-treated populations. • Utilize diverse public and private epidemiology data sources, employing analytical tools for modeling and data visualization. • Maintain high standards of accuracy, clarity, and traceability in all deliverables. Qualifications: • Advanced degree (PhD, MD, PharmD) in epidemiology, outcomes research, or related discipline. • Strong hands-on experience with epidemiologic methods and data sources. • Proven ability to design and conduct global or regional epidemiology studies (population sizing, projections, patient funnel analyses). • Experience working in consulting settings preferred. • Skilled project manager with a commitment to high standards, clear communication, and on-time delivery. • Familiarity with large observational (public and private) data sources, standard of care research, and treatment pattern analysis. • Team-oriented with strong collaboration skills for working across commercial and scientific functions. • Excellent organizational skills and the ability to produce concise, actionable findings for diverse stakeholders. • Generate tables, listings, and graphs for compound projects. Responsible for the validation and quality assurance of any output produced. Generate and review validated table, listings, and graph output meeting the needs of Clinical Projects. Prefer candidate with clinical experience. SAS program experience required. Experience Level = 3-5 Years Job Type: Contract Pay: $56.00 - $58.00 per hour Benefits: • Flexible schedule • Health insurance • Life insurance • Paid sick time • Paid time off Education: • Doctorate (Preferred) Experience: • Real world data analysis: 5 years (Preferred) • epidemiologist: 5 years (Preferred) • SAS: 5 years (Preferred) • claims and health record data analysis: 5 years (Preferred) • perform literature reviews: 5 years (Preferred) Work Location: Remote Apply tot his job