Associate Director, Medical Affairs - Real World Evidence EpidemiologistUnited States – Remote, United States - California - Santa Monica Medical Affairs Regular
Job DescriptionWe're here for one reason and one reason only – to cure cancer. Every moment is dedicated to developing treatments and every action moves us one step closer to our goal. We've made incredible scientific breakthroughs and our pioneering personalized CAR T-cell therapies have changed the paradigm. But we're not finished yet.
Join Kite, as we make even bigger advances in cancer therapies, and help shape where our business and medical science goes next.
We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Kite and help create more tomorrows.
Job DescriptionThe 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 strategyPartner 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 designsLead 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 reviewLead or support data analyses/QC using large claims and/or EHR databases in close collaboration with internal and external stakeholdersLead or support data dissemination and publication, including preparation of technical reports and drafting publication materials (e.g., abstracts, manuscripts); and ensure their timely delivery/submissionCommunicate the study results with a broader audience internally and externallyEffectively manage internal and external stakeholder expectations regarding strategic objectives and execution of researchSupport cross-functional initiatives to develop and refine internal procedures, workflows, and best practicesBasic 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 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 institution5+ years of oncology research experiencePrior experience as a study epidemiologist or statistician for projects involving Flatiron EHR and/or chart review data from clinical sitesIn-depth knowledge of claims-based RWD (e.g., Optum, HealthVerity) and prior experience of using claims-based RWD in oncology researchFormal trainings of the principles of epidemiologic research methodsIn-depth knowledge of advanced statistical methods to support complex study designsProficiency in statistical analysis programming languages commonly used in life sciences (e.g., SAS, R)Excellent interpersonal communication and study management skillsExcellent 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 findingsAbility to work effectively in a constantly changing, diverse, and matrix environmentThe 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.
The salary range for this position is: $173,910.00 - $225,060.00. Kite considers a variety of factors when determining base compensation, including experience, qualifications, and geographic location. 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: Gilead Benefits.
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