Research Associate, Cell Biology - Biomarker Operations

Gilead SciencesUnited States - California - Santa Monicaonsite$75k–$97kView the original posting at Gilead Sciences ↗

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 fulfill their aspirations. Join Kite and help create more tomorrows. Job Description The Research Associate, Biomarker Operations supports the execution of biomarker and biospecimen activities across oncology clinical trials, with a particular focus on Multiple Myeloma and hematologic malignancies. This role partners closely with Translational Medicine, Clinical Operations, study teams, and external laboratory partners to coordinate sample collection, tracking, shipment, testing, and data reconciliation activities. The successful candidate will help ensure high-quality biomarker operations throughout the clinical trial lifecycle by managing biospecimen workflows, supporting vendor relationships, maintaining study documentation, and contributing to study startup and execution activities. The individual will also leverage AI-enabled tools, automation, and data-driven technologies to streamline workflows, enhance operational efficiency, improve reporting and sample oversight, and support data-driven decision-making. The ideal candidate has experience in oncology clinical research, strong organizational and project coordination skills, digital and AI fluency, and a passion for advancing translational science through operational excellence, innovation, and continuous improvement. The Research Associate, Biomarker Operations supports the execution of biomarker and biospecimen activities across global oncology clinical trials, with a primary focus on Multiple Myeloma and hematologic malignancies. This role partners closely with Translational Medicine, Clinical Operations, Clinical Study Teams, and external laboratory vendors to coordinate sample collection, tracking, shipment, testing, and data reconciliation activities. The successful candidate will contribute to the execution of high-quality biomarker operations throughout the clinical trial lifecycle by managing complex biospecimen workflows, supporting laboratory vendors, maintaining study documentation, and enabling study startup and ongoing trial execution. In addition, this individual will leverage AI-enabled, automation, and digital technologies to enhance sample management, optimize operational workflows, support vendor oversight, improve reporting capabilities, and generate actionable insights that inform study decisions. As part of an evolving AI-first operating model, this role will be expected to utilize tools such as Microsoft Copilot, advanced analytics platforms, workflow automation solutions, and data visualization technologies to streamline routine tasks, increase operational efficiency, improve data quality, identify risks proactively, and accelerate decision-making across biomarker programs. Key Responsibilities Biospecimen & Sample Management Support end-to-end biospecimen operations for global oncology clinical trials. Track specimen collection, processing, shipment, receipt, testing, and storage activities. Reconcile sample inventories and support resolution of sample-related queries and discrepancies. Monitor sample shipments and coordinate issue resolution with sites, laboratories, and vendors. Maintain specimen tracking databases and study-specific sample management tools. Ensure accurate documentation and

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