| Location | San Francisco, CA |
| Salary | $105–$123 Per Hour |
What You Will Contribute To Altos
Key Responsibilities
Knowledge Modeling & Ontology Engineering:
Design, maintain, and extend internal LinkML / Biolink models and ontologies covering experimental and prior-knowledge metadata-driven by competency questions from user requirements and not by source-side convenience.
Own mapping and alignment as a discipline: cross-ontology mappings with recorded justification and provenance, and upstream term requests as appropriate.
Serve as reviewer of record for schema change, holding the line that reuse precedes coining anything new.
Agentic & Automated Curation:
Administer, steer, and refine our agentic curation framework and Model Context Protocol (MCP) service layer to scale data profiling, validation, and entity mapping far beyond manual capacity.
Standardize tool definitions (FastMCP), prompt templates, and LLM-driven workflows that extract, normalize, and validate metadata from prior-knowledge sources and experimental assets.
Biological Data Harmonization:
Define mapping patterns and metadata conventions for diverse experimental modalities (genomics, single-cell, screening data) to conform to the canonical schema.
Establish standardized conventions that allow both external prior-knowledge sources and internal experimental datasets to cleanly map into the LinkML graph architecture.
Quality, Evaluation & Provenance:
Establish and maintain automated validation, LLM-assisted quality control, and CI/CD under a "curation as code" paradigm-extending existing drift and coverage gates into the places where semantic review is still manual.
Measure whether the knowledge is correct, not merely reproducible: gold-standard sets, inter-curator agreement, and precision/recall on automated extraction.
Who You Are
The salary range for Redwood City, CA:
Exact compensation may vary based on skills, experience, and location.
For UK applicants, before submitting your application: