Scientific AI Engineer
Core
Design and implement an AI-powered agent that integrates ImmGen's existing immunology data resources and analytical capabilities with a natural-language interface for scientists.
Role type
Senior IC scientific AI engineer (agent orchestration)
Builds
AI agent interface connecting to existing ImmGen data and analytical tools
Domain
Immunology + Bioinformatics + LLM Agent Systems
Deliverable
production ML models
Required skills
Python, pandas, NumPy, SciPy, scikit-learn, API development, data schema design, LLM application development, tool/function calling, agent orchestration, RAG, natural-language-to-SQL/code
Preferred skills
Bioinformatics, genomics, computational biology, scientific computing libraries (Scanpy, Bioconductor), reproducible workflows
Technologies
MCP strategies, LLMs, APIs, data schemas
Responsibilities
Integrate existing ImmGen data and tools for AI agent access; define supported use cases and scientific language formats; map researcher questions to existing workflows; develop software interfaces and orchestration logic; implement safeguards against hallucinations and invalid statistical interpretations; prevent unduly expensive compute initiations.
Seniority
Senior, hands-on IC
