D
San Francisco, California, United States
$166K – $210.3K/yr
PythonJavaMachine LearningAI
LS
Active1mo ago
Senior Data Engineer, Bioinformatics, Cheminformatics, Materials
Role overview
Job description
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. You’ll also build domain-specific analysis functions and reusable data pipelines that help scientists and AI researchers move faster without re-deriving bespoke solutions. What You'll Be Building • Design pipelines that turn raw lab outpu
…About this listing
- Source: Lila Sciences's official careers site (via Greenhouse) · last confirmed on the source 27 Oct 2026
- Posted 1 Sept 2026
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How Data Engineer demand looks in United States
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89
Posted 30d
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Salary listed
62.9%
Salary trend 1Y
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What they are looking for
Skills & requirements
Qualification
What You'll Need to Succeed • 2–6 years of experience in data engineering, bioinformatics, cheminformatics, or computational science; If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply
Department · Software
Hiring company
Lila Sciences
LILA has created the world's first Operating System for Science powered by Scientific Superintelligence™
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