Senior Data Scientist, AI Retrieval Systems
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AxleBioscience IT
This is a 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, including at least 2 years shipping LLM-powered applications.
- Required Skills
- PostgreSQLPythonKubernetesTypeScriptFastAPINext.jsReactCI/CD
Requirements
- Bachelor’s degree in Data Science, Computer Science, Bioinformatics, or related field (advanced degree preferred).
- At least 5 years of experience building and operating production software or data systems.
- At least 2 years of experience shipping LLM-powered applications (agents, retrieval, or evaluation).
- End-to-end experience building retrieval systems, including indexing, query construction, and quality measurement.
- Experience evaluating systems using golden sets, offline regression suites, and metrics like Recall@K and MRR.
- Experience with structured output, tool/function calling, and schema validation.
- Strong proficiency in Python (FastAPI, Pydantic, pytest).
- Deep experience with PostgreSQL (vector search, full-text search, query tuning).
- Experience with containerization and Kubernetes for service deployment.
- Comfort working in Next.js, React, and TypeScript.
- Ability to obtain and maintain a Public Trust Security clearance.
Responsibilities
- Model biomedical knowledge for rare disease research by ingesting disease and phenotype ontologies.
- Build retrieval-augmented services that ground natural language in clinical concepts.
- Tune keyword and vector search over large biomedical corpora, optimizing for recall and latency.
- Develop ranking and relevance layers including domain-aware weighting.
- Deliver user-facing interfaces using Next.js, React, and TypeScript.
- Deploy services continuously onto NIH on-premises and HPC Kubernetes environments.
- Build and maintain automated evaluation and regression suites for retrieval quality.
- Log system actions and model selections to ensure auditability for clinical staff.
- Collaborate with researchers and clinical geneticists to define data models and system behavior.
- Contribute to scientific manuscripts, conference abstracts, and posters as a co-author.
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