What You'll Need to Succeed

• PhD in a computational discipline — translational bioinformatics, computational biology, biomedical informatics, biostatistics, epidemiology, machine learning, or related — with research centered on human biomedical data.
• Hands-on ML and data analysis for translational medicine. Fluent Python; substantial experience analyzing human genetic, multi-omic, cohort, trial or real-world data in reproducible pipelines. You will run your own analyses and evaluations and interpret them yourself.
• Mechanistic reasoning about therapeutic interventions. Able to state how an intervention is meant to work, what evidence would establish each step, and where human evidence supports or undercuts it.
• Clinical development fluency. Working knowledge of trial design, endpoints, biomarker strategy, eligibility and enrichment — enough to read a protocol and judge whether it tests the mechanism it claims to.
• Evidence judgment and a systems instinct. Able to reason about what was knowable when and resist hindsight — and interested in making that judgment reproducible by something other than you, through structure and evaluation rather than case-by-case expertise.

Bonus Points For

• Experience with human genetics for target identification and validation — common and rare variant evidence, QTL and expression data, or genetically supported target work.
• Experience with biomarker development, patient stratification, companion diagnostics, or enrichment strategy.
• Experience with clinical trial datasets, real-world data, or observational cohort analysis, and their known limitations.
• Experience evaluating language models or agents on scientific judgment tasks, including contamination and memorization controls.
• Familiarity with survival analysis, competing risks, calibration, or forecasting methodology.
• Experience with structured evidence frameworks — GRADE, systematic review protocols, or bespoke assessment rubrics.

Compensation

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.

Expected Base Salary Range

$268,000

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$384,000 USD

About LILA

Lila Sciences is building Scientific Superintelligence™ 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 Factory™ 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.

We’re All In

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.

A Note to Agencies

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.