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Scientist II/ Senior Scientist, BioML

Lila Sciences · San Francisco, CA USA · San Francisco, CA

CHECKED 15H AGO

Bio & Science AIonsitesenior$228k–$358k
Apply on the lab’s site ↗

At a glance

Highlights

  • Encode mechanistic reasoning into AI systems with rigorous evaluations.
  • Design experimental campaigns that anchor AI in real measurements.
  • Build benchmarks that score systems on predicting documented outcomes.

What they offer

  • 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 company-wide holidays
  • Paid parental leave
  • Educational assistance program

Ideal candidate

Computational biologist who thinks mechanistically and wants to turn scientific judgment into rigorous AI systems, partnering across biology and ML to decide what is worth measuring.

Requirements

  • PhD in Computational Biology, Bioinformatics, Computational Genomics, Biostatistics, Machine Learning, or related quantitative field
  • Fluent Python with experience analyzing high-dimensional biological data in reproducible pipelines
  • Able to reason mechanistically about pathways or drug mechanisms and what assays establish
  • Demonstrated ability to assess whether data support a claim and make judgment reproducible
  • Ability to explain methods, assumptions, results, and limitations to interdisciplinary audiences

Lab profile

About Lila Sciences

Building an autonomous science platform where AI, automation, and biology co-evolve for medicine and materials.

What they build

  • Autonomous Science Platform
  • AI-designed biologics validated in wet-lab
  • Electro-optic materials and photonic devices

Known for

  • Large-scale automated data generation
  • High-throughput protein purification and analytics
  • Protein design and BioML modeling
  • Robotic orchestration and lab simulation
More about Lila Sciences →
Apply on the lab’s site ↗