Staff Software Engineer, Data Curation

Overview

Our mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life.

We believe that diverse perspectives are foundational to scientific innovation and inquiry. At Altos, exceptional scientists and industry leaders from around the world work together to advance a shared mission. Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives. We are all accountable for sustaining a diverse and inclusive environment.

What You Will Contribute To Altos

Use AI agents to make complex research data FAIR—Findable, Accessible, Interoperable, Reusable—so scientists and product teams can ask richer questions, move faster, and advance discovery. Be part of a team using knowledge and data engineering to enable the transition from manual to LLM‑enabled, agentic data ingestion and curation. You’ll sit at the intersection of data curation, data and knowledge engineering. Your job is to automate the ingestion and standardization of multi‑source datasets into governed, searchable, analytics-ready assets, and to model the domain knowledge that ties them together.

Responsibilities

• Curate and harmonize data. Ingest, profile, clean, normalize, and annotate multi‑modal research datasets (e.g., genomics / transcriptomics, proteomics, imaging / microscopy, CRISPR screens, assay / instrument metadata). Map to controlled vocabularies and standards; manage identifiers, synonyms, and crosswalks.
• Deliver insights from curated data. Focus on the substance—entities, relationships, and annotations that answer real research and product questions using public domain assets from Ensembl, GEO, PubMed, OMIM, OLS, amongst others. Use pipelines and existing data sources storage pragmatically as tools to deliver content and outcomes.
• Model knowledge to serve decisions. Capture the concepts and links researchers actually use; keep schemas lightweight and purpose‑built. Leverage OBO Foundry ontologies; define with LinkML; align to the BioLink / Biolink Model; and integrate / serve with platforms such as BioCypher.
• Quality, governance & AI enablement. Instrument automated checks (tests / expectations), process development to improvement data FAIRification, and LLM‑assisted validations; capture provenance / lineage; codify SOPs; and work to facilitate the migration of processes from manual → automation → agentic (MCP‑integrated) workflows.
• Serve as a key technical liaison between scientific, data science, and engineering teams, translating complex research needs into scalable and maintainable data solutions.
• Define and evangelize best practices for data and knowledge engineering across the organization, mentoring junior team members and building reusable, AI-enhanced, enterprise-level components.

Minimum Qualifications

Preferred Qualifications

The salary range for Redwood City, CA :

Exact compensation may vary based on skills, experience, and location.

Equal Opportunity Employment : Altos Labs provides equal employment opportunities to all employees and applicants for employment, without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Altos Labs is committed to a culture of scientific excellence, learning, and belonging.

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