Associate Director, Real-World Evidence & Epidemiology

Master’s degree in Epidemiology, Public Health, Biostatistics, or a closely related field, with 8 years of experience in epidemiology, real-world evidence, or observational research within biotech, pharma, academia, public health, or a CRO required. PhD or DrPH in Epidemiology or a related discipline with 6 years experience preferred.  Other combinations of education and/or experience may be considered.

Demonstrated experience planning and executing observational studies, including retrospective and/or prospective designs.

Experience working with real-world data and analytic tools (e.g., SAS, R, STATA), including data management, analysis, or close oversight of analyses.

Ability to clearly present complex scientific and epidemiologic data to non-technical audiences, both verbally and in writing.

Strong scientific judgment, organizational skills, and ability to independently manage multiple workstreams in a fast-paced environment.

Highly desired experience:

The compensation package will be competitive and includes comprehensive benefits and an equity component.

$199,000 – $232,000 (SF Bay Area). Salary ranges for non-California locations may vary.

We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.

Study Execution & Operations

Lead end-to-end execution of epidemiology and RWE studies, including retrospective database studies, prospective observational studies, and hybrid designs, supporting both pediatric and adult vaccine programs.

Manage study start-up activities including contracting, budgets, timelines, and SOWs with CROs, academic partners, and data vendors.

Oversee IRB and ethics submissions and ensure compliance with regulatory, privacy, and data governance requirements.

Partner closely with Legal, Procurement, and Compliance to ensure timely and compliant study execution.

Epidemiologic & Analytic Contributions