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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.
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San Francisco, USA
San Francisco, USA
San Francisco, USA
San Francisco, USA
Cambridge, USA
San Francisco, USA
San Francisco, USA
San Francisco, USA
San Francisco, USA
San Francisco, USA
San Francisco, USA
Cambridge, USA
Cambridge, USA
We offer competitive base compensation with bonus potential and generous early-stage equity.
Your final offer will reflect your background, expertise, and expected impact.
U.S. Benefits. Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.
International Benefits.
Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region.
USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.
Lila Sciences is building Scientific SuperintelligenceTM to solve humankind's greatest challenges.
We believe science is the most inspiring frontier for AI.
Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.
LILA combines advanced AI models with proprietary AI Science FactoryTM instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy.
Learn more at www.lila.ai.
Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance.
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.
Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.
Lila Sciences does not accept unsolicited resumes from any source other than candidates.
The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team.
Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.
AI-driven drug discovery company applying machine learning to accelerate the identification and development of novel therapeutics.
Visit company websiteJobs and hiring trendsSenior · 2–6 years experience
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