Senior Data Engineer, Bioinformatics, Cheminformatics, Materials
San Franciscoonsitesenior$144K – $240K
via Greenhouse
About this role
Your Impact at LILA Lila’s mission is to accelerate scientific discovery with AI, and that depends on trustworthy scientific data. As a Data Engineer, you’ll build ETL pipelines and data models for Lila’s scientific data platform, working at the intersection of data engineering, computational biology, chemistry, and materials science. You’ll partner with AI researchers and experimentalists to turn raw lab instrument outputs into validated, analysis-ready datasets. The core challenge is data modeling: transforming messy, per-instrument measurements into clean, well-typed data that is efficient to query, reliable to use, and ready for downstream analysis.…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: python, sql, postgres, duckdb, airflow…
2
Level fit
This role is senior-level. We check your trajectory against it.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is based in San Francisco. We weight your proximity and willingness to relocate.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
pythonsqlpostgresduckdbairflowprefectdagsterpandasnumpy
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