Foster City, California, United States
Key technologies and capabilities for this role
Common questions about this position
The role involves leading the development and deployment of advanced AI applications in drug development, translating AI research into scalable tools, driving cross-functional collaboration, architecting AI/ML pipelines, and building a team of applied AI engineers.
Expertise in generative AI, LLMs, autonomous agents, machine learning systems, LLMOps, and AI/ML pipelines for drug development challenges like trial optimization and regulatory authoring is essential, along with leadership in building engineering teams.
This information is not specified in the job description.
This information is not specified in the job description.
The role requires building and leading a team of applied AI engineers while fostering a culture of ownership, speed, and continuous improvement, aligning with Gilead's values of collaboration, determination, and empowering employees.
Develops and commercializes biopharmaceuticals
Gilead Sciences focuses on discovering, developing, and commercializing medicines for various medical conditions, including HIV/AIDS, liver diseases, cancer, inflammatory and respiratory diseases, and cardiovascular issues. The company conducts extensive research and development to create new therapies, which are then marketed to healthcare providers, hospitals, and pharmacies after receiving regulatory approval. Gilead differentiates itself from competitors through its strong commitment to R&D and strategic partnerships, such as with SAP Ariba, to enhance its operations and product offerings. The company's goal is to improve health equity and access to care globally, working with communities to ensure that its medicines reach those in need.