Research Scientist I, Attribute Sciences Computational Biology, AI & Scientific Informatics

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 Scientist I, Attribute Sciences Computational Biology, AI & Scientific Informatics will be responsible for accelerating adoption of artificial intelligence, agentic workflows, and advanced analytics across Analytical Development. This role will combine expertise in biological sciences, bioinformatics, data science, and generative AI to build AI-powered tools that improve scientific productivity, knowledge management, data accessibility, and decision-making to guide process development and product knowledge of viral vector-based gene delivery platforms and T cell therapies. In this role, the research scientist will partner closely with Process Development, Analytical Development, Manufacturing Sciences, Digital/IT, and Data Science teams to develop AI agents, retrieval-augmented generation (RAG) systems, workflow automations, and predictive models that leverage laboratory, process, and knowledge-management data. Ideal candidates would possess strong communications skills with both technical and non-technical stakeholders, curiosity about emerging AI capabilities, ability to understand scientific workflows and needs and translate those into working products, and software/programming skills sufficient to independently build and deploy AI and data science solutions. Responsibilities include (but are not limited to): AI Agent Development: • Design and deploy Copilot, Copilot Studio, or similar AI agents supporting scientific workflows. • Develop RAG-based knowledge assistants that integrate information from various enterprise knowledge sources. • Create agents that: answer scientific questions, retrieve and summarize technical information, generate draft reports, support investigations, assist with study planning and scheduling, support operational excellence. • Evaluate AI tool accuracy, groundedness, hallucination rates, performance and citation quality. Bioinformatics & Scientific Computing • Analyze multi-modal biological datasets including NGS, omics, vector characterization, cell therapy process data. • Develop pipelines for automated data processing and visualization. Knowledge Management and Automation • Support digital transformation initiatives involving electronic lab notebook and data lake infrastructure. • Automate repetitive scientific workflows and documentation tasks. • Build solutions that improve data discoverability and scientific knowledge reuse. Cross-functional Collaboration • Work directly with scientists, IT and digital teams to identify opportunities where AI can improve productivity. • Translate scientific business problems into technical AI solutions. • Train stakeholders on effective use of AI tools and prompt engineering techniques. Applied Data Science • Build predictive and descriptive models supporting process development and manufacturing. • Develop statistical tools for identifying relationships between process parameters and manuf