Assoc Director

Associate Director, Real-World Evidence (RWE)

We'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.

We are seeking an Associate Director, Real-World Evidence (RWE), who will lead real-world evidence generation across the product lifecycle, with a core focus on execution of external control arms (ECAs) and other complex observational studies. This role is central to Kite's ability to contextualize single-arm trials and evolving treatment landscapes, support access, and strengthen evidence packages for innovative cell therapies. You will also serve as a leader of RWE in scientific forums, and collaborate with external physicians, scientists, and researchers, as well as alliance partners, on RWE activities.

This role can be office-based in our Foster City, CA, Parsippany, NJ or Santa Monica, CA.

Kite is transitioning from its current Santa Monica headquarters, with employees expected to relocate to our El Segundo office beginning in January 2027. While this role will be based in Santa Monica through 2026, applicants should take this planned relocation into consideration. Kite supports a flexible working policy, offering a balanced approach with two days of remote working and three days working onsite.

Key Accountabilities:

• Provide scientific and financial leadership for the execution and communication of real-world evidence across the product lifecycle.
• Lead design and oversight of observational studies (retrospective/prospective cohorts, registries, external control arms).
• Ensure methodological rigor is incorporated into study conceptualization, protocol and analysis.
• Application of advanced epidemiologic and statistical methods (e.g., propensity score methods, survival analysis, causal inference).
• Translate complex analyses into clear, decision-relevant insights for internal and external stakeholders.
• Partner closely with Clinical Development, Biostatistics, Medical Affairs, HEOR, Regulatory Affairs, Value & Access, and Commercial teams to align evidence generation with business needs.
• Provide RWE expertise and input for regulatory filings (e.g. MAA, BLA, sBLA) as well as response to questions from regulatory authorities and HTA agencies.
• Engage with external collaborators, registries, academic partners, and data vendors.
• Ensure scientific rigor, transparency, and reproducibility consistent with internal RWE standard.
• Oversee vendors and ensure timely, high-quality study delivery.

Minimum Required Education and Years of Experience

• Bachelor's Degree and Ten Years' Experience OR
• Masters' Degree and Eight Years' Experience OR
• PhD and Two Years' Experience

Preferred Education and

Qualifications:

• Doctoral degree (e.g. PhD, MD, ScD, PharmD) in Epidemiology or related discipline, such as Outcomes Research, Medicine, Biostatistics from an accredited institution, with a minimum of 6+ years of relevant, post-graduation experience with doctoral training OR Master's degree (e.g. MSc) in Epidemiology or related discipline, such as Outcomes Research, Medicine, Biostatistics from an accredited institution with 8+ years of relevant experience with Master's training.
• Deep understanding of observational study design and causal inference, real-world data sources, bias, confounding, and sensitivity analyses.
• Understanding of the RWE regulatory landscape preferred.
• Experience in working with international data sets and/or Common Data Models (e.g., OMOP) preferred.
• Strong…