Senior Epidemiologist, Oncology (FSP Sponsor Dedicated)

IQVIA•Durham, NC

3d•Remote

About The Position

Join IQVIA’s Sponsor-Dedicated FSP team and help advance healthcare through real-world evidence. We bring together scientific expertise and real-world data to help sponsors make decisions and accelerate evidence generation to improve patient outcomes. In this role, you’ll work closely with one sponsor, gaining deep knowledge of their therapies while leveraging IQVIA’s global expertise. Core Function Description: Design and conduct epidemiological studies to generate real-world evidence within time, budget, and quality standards, including but not limited to natural history of disease, population characterization, assessment of treatment patterns and unmet need, development of external comparators, benchmarking of clinical outcomes, comparative safety and effectiveness research, and post-authorization studies. Skill sets of the Epidemiologist role are similarly required, with the expectation of more experience, able to operate strategically under limited supervision, well versed in current Epidemiology research methods, deep understanding of how RWE fits within drug development, regulatory, medical, safety and other functions.

Requirements

PhD in Epidemiology, Biostatistics, Psychometrics, or related field with a minimum of four (4) years of relevant post-doctoral experience, preferably in pharmaceutical industry, biotechnology, or consulting environment.
Master’s degree in epidemiology, biostatistics, bioinformatics, or relevant scientific field, plus 7-9 years of experience in lieu of PhD may be acceptable.
Deep understanding of observational research methods and experience to support the design and conduct of observational research, including protocol, statistical analysis plan, and study report development.
Extensive knowledge of secondary data sources and experience with secondary data analysis, including electronic medical record and/or medical claims databases.
Demonstrated ability to function with an increasing level of autonomy and to develop productive cross-functional collaborations in a matrix environment.
Ability to manage priorities and performance targets.

Nice To Haves

Solid tumor experience a plus
Experience with commercial Oncology EMR databases
Leverage RWE expertise to identify evidence gaps and develop options to address the evidence gaps in support of Clinical Development Programs in early phase (ph1/2).
A record of scientific publications demonstrating expertise in observational study design, analysis, and interpretation is preferred.
Experience in leading drug development project for 2+ years for therapeutic area of assignment preferred.
Experience with Clinico-genomic multi-modal data (e.g., Tempus AI) or population biobank data (UK biobank) is a plus

Responsibilities

Lead development of study protocols, analysis plans, and study reports to answer research questions of priority to RWE.
Lead, design, and manage epidemiological, biomarker and/or data science projects.
Lead, plan, design, and conduct analyses for internal and external decision making (e.g., responses to regulatory authorities, rapid analyses of safety queries).
Lead the identification of fit-for-purpose data for the timely execution of the RWE strategy.
Constructed cohorts using RWD sources (e.g., claims, EHR) and evaluate key variables, including diagnosis and procedures codes, and plan validation studies as needed.
Contribute to the communication of observational research results and methods, including development of pertinent sections of regulatory documents, reports, publications, white papers.
Support the effective communication of study/analysis results to support internal and external decisions.
Coauthor abstracts and manuscripts for external dissemination of methodologic study results.
Contribute to the development of processes and training aimed at increasing the efficiency, quality, and impact of functional activities.
Provide subject matter expertise and conduct analyses for descriptive and comparative research using RWD (examples include claims, EHR, registry data) for methodologic research questions.