Associate Director, Data Scientist

Responsibilities
- Manage contractors, technical delivery partners, and AI workstreams across applied AI initiatives.
- Support contractor onboarding, work planning, technical direction, delivery coordination, quality review, and accountability.
- Provide hands-on technical direction for AI prototypes, model development, application patterns, data pipelines, and production AI systems.
- Review technical designs, architecture decisions, model evaluation plans, code quality, implementation tradeoffs, and production-readiness.
- Contribute to prototypes, proof-of-concepts, notebooks, design documents, technical spikes, and code reviews.
- Promote scientific rigor, reproducibility, engineering excellence, responsible AI practices, documentation, and maintainable delivery.

Requirements
Minimum Education & Experience
- PhD (CS/AI/ML/Computational Biology/Statistics/Engineering or related) with 4+ years industry experience; or MS with 8+ years; or BS with 10+ years.
- Expertise in AI/ML/Deep Learning/NLP/Generative AI (or related).
- Experience guiding technical contributors/contractors or cross-functional teams.
- Hands-on experience building, evaluating, and deploying AI/ML solutions.

Core Technical Requirements
- Strong Python; experience with PyTorch/TensorFlow (or equivalent).
- Experience with clinical trial operational data/real-world data and trial feasibility/site selection/forecasting.
- Experience building GenAI apps with tools such as LangChain/LangGraph/Semantic Kernel/Microsoft Agent Framework/Langfuse/AWS/Azure (or equivalents).
- Experience designing RAG systems (chunking, embeddings, vector search, reranking, grounding, citations, retrieval evaluation, response quality).
- Experience with agentic workflows (tool use, orchestration, guardrails, human-in-the-loop, prompt/context engineering, evaluation).
- Experience with APIs/microservices/notebooks/Git, automated tests, containerization, deployment, monitoring, and operational support.
- Experience deploying in regulated environments with governance/security/privacy/compliance/responsible use.

Preferred Qualifications
- AI in life sciences/drug development/clinical research/healthcare/regulatory industries.
- Publications/patents/open-source/communities or technical standards.
- Strong analytical, communication, organizational, and stakeholder management skills.
- Ability to travel.

Application Instructions
- For current Gilead employees and contractors, apply via the Internal Career Opportunities portal in Workday.