Associate Director, Medical Affairs - Real-World Evidence Epidemiologist

At Gilead we believe every employee deserves a great leader. As a people leader now or in the future, we expect that you will model and create an environment of inclusion, be intentionally focused on the hiring, development, growth and retention of talent, and empower teams to align and achieve goals.

Epidemiologist will report to Kite Medical Affairs RWD Platform Lead to conduct timely, relevant, and rigorously analysis of RWD to address critical research questions as well as contribute to (cross-) functional initiatives. The epidemiologist will have access to real-world databases in-licensed across Gilead and Kite and act as the stewards of Gilead's and Kite’s best practices, standards, and methodologies underlying the use of real-world data (RWD).

The epidemiologist will be responsible for leading and supporting epidemiologic studies using RWD to support product strategy and conduct disease epidemiology, natural history, treatment patterns, and outcomes studies. The epidemiologist will work closely with key internal and external stakeholders to design the study (develop protocol and statistical analysis plan), to execute the planned analysis in collaboration with members of the biostatistics and programming team, and to communicate the results internally and externally. The epidemiologist will work closely with project team to manage timeline and workflow.

The epidemiologist will contribute to cross-functional initiatives and collaborate with Kite Biometrics team and the RWE analytics group within the Clinical Data Sciences – RWE organization of Gilead. The epidemiologist will be steward for best pharmacoepidemiology and pharmacovigilance practices.

Responsibilities

• Effectively manage internal and external stakeholder expectations regarding strategic objectives and execution of research
• Lead or support preparation of technical reports and publication materials (e.g., abstracts, manuscripts); and ensure their timely delivery/submission
• Communicate the study results with a broader audience internally or externally
• Lead or support development of statistical analysis plan using descriptive and complex study designs (e.g., propensity score matching) for RWE oncology studies, including the definitions of derived variables, the structure and content of analysis datasets, statistical analysis methods, and the design of templates for statistical tables, figures, and listings
• Collaborate closely with the internal stakeholders (e.g., biostatistics and programming team members) to execute planned data analyses
• Support cross-functional initiatives to develop and refine internal procedures, workflows, and best practices
• Lead or support development of study protocol for RWE oncology studies using RWD (e.g., observational registry databases, medical claims and EHR) and publicly available databases (e.g., SEER database); and ensure close cross-functional alignment

Basic Qualifications

Doctorate degree and 2+ years of experience working with a broad range of RWD, in academia, at a contract research organization, or in the biopharmaceutical industry

OR

Master’s degree and 8+ years of experience working with a broad range of RWD, in academia, at a contract research organization, or in the biopharmaceutical industry

OR

Bachelor’s degree and 10+ years of experience working with a broad range of RWD, in academia, at a contract research organization, or in the biopharmaceutical industry

Preferred Qualifications

• Degree in Epidemiology, Biostatistics, Statistics or related discipline from an accredited institution
• 5+ years-experience in observational research study management AND data analytics
• Advanced knowledge in advanced statistical methods to support complex study designs (e.g., propensity score matching/time-dependent covariates)
• Formal trainings of the principles of epidemiologic research methods
• Ability to work effectively in a constantly changing, diverse, and matrix environment
• Excellent interpersonal communication and study management skills
• Demonstrated proficiency in statistical analysis programming languages commonly used in life sciences (e.g., SAS, R)
• Excellent verbal, written and presentation skills, including the ability to effectively communicate study results in a clear, non-technical manner to internal cross-functional teams, using language that resonates with the teams, while maintaining the integrity of key findings
• Prior experience as a study epidemiologist or statistician for post-marketing registry studies (e.g., PASS, PAES) and/or real-world oncology registries

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The salary range for this position is: $168,980.00 - $218,680.00. Gilead considers a variety of factors when determining base compensation, including experience, qualifications, and geographic location. These considerations mean actual compensation will vary. This position may also be eligible for a discretionary annual bonus, discretionary stock-based long-term incentives (eligibility may vary based on role), paid time off, and a benefits package. Benefits include company-sponsored medical, dental, vision, and life insurance plans*.

For additional benefits information, visit:

https://www.gilead.com/careers/compensation-benefits-and-wellbeing

• Eligible employees may participate in benefit plans, subject to the terms and conditions of the applicable plans.

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