Senior/Principal ML Scientist, Translational Biology

The role

You will build systems that assess mechanistic support for clinical programs by grounding mechanistic models in human data. You will evaluate trial designs, build outcome-verifiable forecasts, and co-design with ML scientists and engineers.

What you will do

• Build systems that assess mechanistic support for a clinical program
• Ground mechanism in human data
• Assess trial design against mechanism
• Build evaluations that hold these systems to account
• Co-design with ML scientists, mechanism scientists and engineers
• Communicate findings clearly to technical and cross-functional audiences
• Support external scientific visibility through publications and presentations

Required qualifications

• PhD in a computational discipline — translational bioinformatics, computational biology, biomedical informatics, biostatistics, epidemiology, machine learning, or related
• 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
• Working knowledge of trial design, endpoints, biomarker strategy, eligibility and enrichment
• Evidence judgment and a systems instinct

Nice to have

• 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

Benefits

• 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, including bike share memberships for office based employees
• Company subsidized lunch program

About the company

Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. The company combines advanced AI models with proprietary AI Science Factory™ instruments to execute the scientific method autonomously.