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About the Role
Lila is redefining the future of biomedicine by combining large-scale automated data generation with scientific superintelligence. We are seeking a Senior ML Scientist to connect that work to human medicine, building the systems that assess whether a clinical program's biology holds up.
Responsibilities
- Build systems that assess mechanistic support for a clinical program.
- Ground mechanism in human data by analyzing human genetic, expression, cohort and trial-derived evidence.
- Assess trial design against mechanism, evaluating endpoint choice and timing, biomarker definition and assay, dose and schedule, and eligibility and enrichment criteria.
- Build evaluations that hold these systems to account, including outcome-verifiable forecasts of real program progression.
- Co-design with ML scientists, mechanism scientists and engineers, translate model output into decisions people actually make, and publish findings.
- Communicate findings clearly to technical and cross-functional audiences.
- Support external scientific visibility through publications, presentations, and engagement with relevant communities.
Requirements
- 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.
- Mechanistic reasoning about therapeutic interventions.
- Clinical development fluency, including working knowledge of trial design, endpoints, biomarker strategy, eligibility and enrichment.
- Evidence judgment and a systems instinct, with an interest in making judgment reproducible.
- Experience with human genetics for target identification and validation.
- Experience with biomarker development, patient stratification, companion diagnostics, or enrichment strategy.
- Experience with clinical trial datasets, real-world data, or observational cohort analysis.
- Experience evaluating language models or agents on scientific judgment tasks.
- Familiarity with survival analysis, competing risks, calibration, or forecasting methodology.
- Experience with structured evidence frameworks — GRADE, systematic review protocols, or bespoke assessment rubrics.
Skills
- Python
- ML
- Data analysis
- Human genetic data analysis
- Multi-omic data analysis
- Cohort data analysis
- Trial data analysis
- Real-world data analysis
- Mechanistic reasoning
- Clinical development
- Trial design
- Biomarker strategy
- Evidence judgment
- Systems instinct
- Human genetics
- Target identification
- Target validation
- Biomarker development
- Patient stratification
- Companion diagnostics
- Enrichment strategy
- Survival analysis
- Competing risks
- Calibration
- Forecasting methodology
- Structured evidence frameworks
Location
- U.S.
Work Type
- Full-time
Experience Level
- Senior
Education Level
- PhD
Salary/Compensations
- $268,000—$384,000 USD
Benefits
- Competitive base compensation
- Bonus potential
- Generous early-stage equity
- Medical, dental, and vision coverage
- Employer-paid life and disability insurance
- Flexible time off with generous company wide holidays
- Paid parental leave
- Educational assistance program
- Commuter benefits
- Company subsidized lunch program
About the Company
- 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.
- Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance.
Equal Opportunity
- 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.