Associate Director, Principal Data Engineer

Role: Associate Director, Principal Data Engineer leading scalable data, cloud, and AI-enabled research platforms to support scientific discovery, clinical data analysis, and decision-making in infectious diseases and oncology programs. Responsibilities: develop AI agents for research insights, QC/QA, and scientific reporting; design governance-aware AI workflows including LLMs and RAG; build and operate AWS cloud infrastructure for bioinformatics, genomics, and ML; integrate scientific data platforms; strengthen data quality, metadata, and platform security; collaborate across Research, Clinical, Data Science, TechOps, and IT; provide technical leadership and mentorship. Requirements: BS/MS in Computer Science, Bioinformatics, or related; 12+ years in data/scientific software engineering, cloud architecture, or computational biology; expertise in Python/Java, AI/ML models (GPT, Claude, Gemini), and scientific data systems (LIMS, ELN); extensive AWS experience; familiarity with modern cloud data tools (Databricks, Snowflake, Spark, Airflow); knowledge of data governance, quality, and lineages; strong cross-functional collaboration skills. High-Value: focus on infectious diseases and oncology; bioinformatics, genomics, clinical, and ML data support; cloud-based scientific platform development; leadership in architecture and engineering; based in San Francisco with hybrid work.