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About the Role
Lila is building a platform where AI and automation solve complex problems in biomedicine. This role focuses on the intersection of mechanistic modeling and experimental design, contributing to a biological mechanism layer that reasons about hypotheses, evaluates evidence, and designs experiments to generate new data. The ideal candidate will drive applied work in an interdisciplinary environment, emphasizing execution, scientific judgment, and collaboration.
Responsibilities
- Encode mechanistic reasoning into systems and build evaluations to assess them.
- Analyze biological data, including single-cell, perturbation, proteomics imaging, and genetic data.
- Design experimental campaigns and analyze the resulting data.
- Build outcome-verifiable benchmarks and set evidence standards.
- Co-design with ML scientists, engineers, and experimental scientists.
- Communicate results comprehensively to diverse audiences.
Requirements
- PhD in Computational Biology, Bioinformatics, Computational Genomics, Biostatistics, Machine Learning, or a related quantitative field with research centered on biological data.
- Strong hands-on computational and data-analysis depth.
- Fluent Python and substantial experience analyzing high-dimensional biological data in reproducible, version-controlled pipelines.
- Mechanistic biology fluency, with the ability to reason about pathways and drug mechanisms.
- Demonstrated ability to assess data support for claims and reason about what was knowable when.
- Clear communication skills for explaining methods, assumptions, results, and limitations to technical and interdisciplinary audiences.
Skills
- Computational biology
- BioML
- Applied ML for biological data
- Python
- High-dimensional biological data analysis
- Single-cell omics
- Perturbation screens
- Imaging-based proteomics
- Genetics
- Mechanistic biology
- Evidence judgment
- Communication
Location
- U.S.
Work Type
- Full-time
Experience Level
- Scientist II
- Senior Scientist
Education Level
- PhD
Salary/Compensations
- $228,000—$358,000 USD
Benefits
- Competitive base compensation with 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.
- LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously.
- Guided by core values of truth, trust, curiosity, grit, and velocity.
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.