Epidemiologist

Key Responsibilities Prepare initial study concepts, including draft protocols and supporting documents, for internal scientific and statistical review committees Assist in creating and maintaining tracking tools, metrics, and reporting dashboards for real‑world evidence (RWE) initiatives Participate in cross‑functional groups focused on non‑interventional research initiatives Provide input to internal subcommittees, program teams, and disease‑focused groups where topics related to observational research, clinical burden, or natural history are evaluated Act as a representative for RWE in collaborative, cross‑departmental efforts supporting development programs Apply effective communication approaches to explain and promote the use of real‑world data (RWD) and RWE methodologies across different stakeholder groups Support dissemination efforts by contributing to abstracts, slide decks, and manuscripts for scientific meetings and peer‑reviewed journals based on observational study outcomes Basic Requirements Doctoral degree in Epidemiology or a closely related discipline Demonstrated experience conducting epidemiologic or health services research across settings such as academia, industry, public sector, or consulting Formal academic training in epidemiology or health services research At least three years of hands‑on experience with observational research in a life sciences, academic, governmental, or advisory environment Strong familiarity working with real‑world data sources, including patient registries, administrative claims, and/or electronic health records Preferred Experience Prior experience working within a pharmaceutical or biotechnology organization Knowledge of regulatory frameworks such as the 21st Century Cures Act, particularly regarding the application of RWE in regulatory contexts Proven track record designing and implementing observational studies Excellent collaboration, communication, and project coordination abilities Skill in translating complex study findings into clear, audience‑appropriate insights for non‑technical stakeholders while preserving scientific accuracy Experience analyzing large healthcare datasets using tools such as SAS or R is advantageous #J-18808-Ljbffr Apr