RWE Senior Epidemiologist​/Senior Observational Research Scientist

RWE Senior Epidemiologist/Senior Observational Research Scientist

Updated: January 30, 2026
Location: Morrisville, NC, United States
Job :-OTHLOC-1500-2

DDC-2DR

RWE Senior Epidemiologist/Senior Observational Research Scientist

Syneos Health® is a leading fully integrated biopharmaceutical solutions organization built to accelerate customer success. We translate unique clinical, medical affairs and commercial insights into outcomes to address modern market realities.

Our Clinical Development model brings the customer and the patient to the center of everything that we do. We are continuously looking for ways to simplify and streamline our work to not only make Syneos Health easier to work with, but to make us easier to work for.

Whether you join us in a Functional Service Provider partnership or a Full-Service environment, you’ll collaborate with passionate problem solvers, innovating as a team to help our customers achieve their goals. We are agile and driven to accelerate the delivery of therapies, because we are passionate to change lives.

Discover what our 29,000 employees, across 110 countries already know:

• WORK HERE MATTERS EVERYWHERE

Why Syneos Health

• We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program.
• We are committed to our Total Self culture – where you can authentically be yourself. Our Total Self culture is what unites us globally, and we are dedicated to taking care of our people.
• We are continuously building the company we all want to work for and our customers want to work with. Why? Because when we bring together diversity of thoughts, backgrounds, cultures, and perspectives – we’re able to create a place where everyone feels like they belong.

• 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
• Construct 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
• Technical Expertise:
  Observational research methods (Primary and Secondary), deep knowledge of biostatistics and analysis methods, understanding of regulatory processes
• Ability to design studies independently, i.e., ability to translate research questions to create study design
• Subject Matter Expertise:
  Provide subject matter expertise and conduct analyses for descriptive and comparative research using RWD (claims, EHR, PRO/COA, registry data) for methodologic research questions

• PhD in Epidemiology, Biostatistics, Psychometrics, or related field with a minimum of four (4) years of relevant post-doctoral experience;
  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…