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Syneos Health

Director, Epidemiology, RWE

Syneos Health

Director of Epidemiology at Syneos Health responsible for managing epidemiological projects and RWE strategy development. Leading cross-functional collaborations and contributing to regulatory documentation and observational research tasks.

Posted 5/9/2026full-timeRemote • Connecticut, District of Columbia, Maryland, New Hampshire, Virginia • 🇺🇸 United StatesLead💰 $118,700 - $207,800 per yearWebsite

About the role

Key responsibilities & impact
  • 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
  • Ability to design studies independently, (ie ability to translate research questions to create study design)
  • Provide subject matter expertise and conduct analyses for descriptive and comparative research using RWD (examples include claims, EHR, PRO/COA, registry data) for methodologic research questions

Requirements

What you’ll need
  • 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
  • A record of scientific publications demonstrating expertise in observational study design, analysis, and interpretation is preferred
  • 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
  • Experience in leading drug development project for 2+ years for therapeutic area of assignment preferred

Benefits

Comp & perks
  • Health benefits to include Medical, Dental and Vision
  • Company match 401k
  • Eligibility to participate in Employee Stock Purchase Plan
  • Eligibility to earn commissions/bonus based on company and individual performance
  • Flexible paid time off (PTO) and sick time

ATS Keywords

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Hard Skills & Tools
epidemiologybiostatisticspsychometricsobservational research methodsstatistical analysis planstudy report developmentsecondary data analysisdata sciencecohort constructionregulatory document development
Soft Skills
leadershipcommunicationcollaborationautonomyproject managementprioritizationanalytical thinkingproblem-solvingtraining developmentcross-functional collaboration
Certifications
PhD in EpidemiologyPhD in BiostatisticsPhD in PsychometricsMaster’s degree in EpidemiologyMaster’s degree in BiostatisticsMaster’s degree in Bioinformatics