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Lila Sciences

Senior ML Scientist, Biological Systems

Lila Sciences
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about 4 hours ago

Base Salary

$268k - $336k/yr

Responsibilities

  • Build autonomous life science systems that connect AI reasoning, biological evidence, experimental design, and automated execution.
  • Translate the broader Autonomous Life Science AI vision into concrete architectures, workflows, prototypes, and production-quality research systems.
  • Develop methods for representing hypotheses, uncertainty, evidence, and scientific arguments for robust machine reasoning.
  • Apply Bayesian reasoning and scientific methodology to design AI systems that propose, test, and revise biological hypotheses.
  • Design agentic workflows that plan experiments and reason over results.
  • Partner with ML scientists, experimental scientists, and automation teams to ensure systems are biologically grounded.
  • Build evaluation frameworks for autonomous discovery systems, including benchmarks for reasoning quality and experimental utility.
  • Contribute to the technical roadmap for autonomous life science research systems.

Requirements

  • PhD in Computer Science, Machine Learning, Computational Biology, Statistics, Biology, or a related quantitative field.
  • Strong research track record in machine learning, AI for science, or computational biology.
  • Deep understanding of scientific reasoning, experimental design, and evidence integration.
  • Experience building or researching systems that reason over complex scientific data.
  • Strong foundation in modern ML methods with hands-on experience in frameworks like PyTorch, JAX, or TensorFlow.
  • Ability to translate biological questions into computational problems and vice versa.
  • Strong technical judgment in open-ended research settings.
  • Excellent collaboration skills across AI, biology, automation, and platform teams.

Benefits

  • Comprehensive medical, dental, and vision coverage.
  • Employer-paid life and disability insurance.
  • Flexible time off with generous company-wide holidays.
  • Paid parental leave and educational assistance program.
  • Commuter benefits, including bike share memberships.
  • Company subsidized lunch program.

Tech Stack

PyTorchTensorFlow

Categories

AI & MLData Science