Senior Data Scientist, Agentic AI Systems
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Axle InformaticsBioscience, Healthcare IT
Remote position within the United States.Full-TimeSenior
Salary$130,000 — $150,000 USD
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Job Details
- Experience
- At least 5 years building and operating production software or data systems; at least 2 of those years involving LLM-powered applications.
- Required Skills
- PostgreSQLPythonGitKubernetesFastAPICI/CDLLM
Requirements
- Bachelor's degree in Data Science, Computer Science, Bioinformatics, Biomedical Informatics, or related field (advanced degree preferred; equivalent professional experience considered).
- At least 5 years building and operating production software or data systems.
- At least 2 years shipping LLM-powered applications (agents, retrieval, or evaluation).
- Proficiency in Python, FastAPI, Pydantic, and pytest.
- Experience with structured output, tool calling, and constraining models to typed schemas.
- Experience evaluating LLM systems using golden sets, regression suites, or model-based graders.
- Experience with PostgreSQL, including embeddings or vector search.
- Proficiency in containerization (Docker, Kubernetes) for service deployment and operation.
- Experience with Git-based collaboration and CI/CD pipelines.
- Ability to obtain and maintain a Public Trust Security clearance.
Responsibilities
- Build agentic AI systems for rare disease research workflows, including conversation logic and automated confirmation steps.
- Implement data output using Pydantic for typed, validated, and traceable structured data.
- Write, version, and regression test prompts and output schemas for clinical and scientific reasoning tasks.
- Develop evaluation frameworks including golden sets, offline regression suites, and model-based graders.
- Maintain responsive multi-step LLM workflows under load using async design, concurrency management, and streaming.
- Log system behavior, reasoning, and errors to ensure transparency and reviewability for NIH staff.
- Translate needs from clinicians, researchers, and patient communities into data models and system behavior.
- Contribute to manuscripts, conference abstracts, and posters with NIH investigators.
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