
Associate Director, Medical Affairs - Real World Evidence Epidemiologist
United States – Remote, United States - California - Santa MonicaMedical AffairsRegularJob Description
The Associate Director, Medical Affairs – Real World Evidence (RWE) Epidemiologist will play a key role in advancing Kite’s RWD research initiatives. Reporting to Kite’s Medical Affairs RWD Platform Lead, you will be responsible for conducting timely, relevant, and rigorous analysis of RWD to address critical research questions and support product strategy. The role involves working with a wide range of real-world databases licensed across Gilead and Kite, ensuring the highest standards of RWD use methodologies, and best practices. You 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.
Job Responsibilities
- Lead or support RWE studies by designing, executing epidemiological studies using RWD (e.g., medical claims, EHR) to explore disease epidemiology, natural history, treatment patterns, and outcomes, aligning with product strategy
- Partner closely with internal and external stakeholders, including the Biostatistics and Programming team, to develop study protocols and statistical analysis plans using descriptive and complex study designs
- Lead or support generation of code lists and identification of claims- or other RWD-based algorithms applicable to RWD research, by working collaboratively with internal/external researchers and/or via literature review
- Lead or support data analyses/QC using large claims and/or EHR databases in close collaboration with internal and external stakeholders
- Lead or support data dissemination and publication, including preparation of technical reports and drafting publication materials (e.g., abstracts, manuscripts); and ensure their timely delivery/submission
- Communicate the study results with a broader audience internally and externally
- Effectively manage internal and external stakeholder expectations regarding strategic objectives and execution of research
- Support cross-functional initiatives to develop and refine internal procedures, workflows, and best practices
Basic Qualifications
Doctorate 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 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 and 10+ years of years of experience working with a broad range of RWD, in academia, at a contract research organization, or in the biopharmaceutical industry
Preferred Qualifications
- Doctoral level training in Epidemiology, Biostatistics, Statistics or related discipline from an accredited institution
- 5+ years of oncology research experience
- Prior experience as a study epidemiologist or statistician for projects involving Flatiron EHR and/or chart review data from clinical sites
- In-depth knowledge of claims-based RWD (e.g., Optum, HealthVerity) and prior experience of using claims-based RWD in oncology research
- Formal trainings of the principles of epidemiologic research methods
- In-depth knowledge of advanced statistical methods to support complex study designs
- Proficiency in statistical analysis programming languages commonly used in life sciences (e.g., SAS, R)
- Excellent interpersonal communication and study management skills
- 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
- Ability to work effectively in a constantly changing, diverse, and matrix environment
The work you do at Kite will help change how cancer is treated and ensure patients and their families have more time together. Ready to create more tomorrows with us? Hit apply.
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