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ML Scientist I/II, Nucleic Acid Design

Lila Sciences
Location
San Francisco, CA USA
Posted
2 months ago
Department
AI
What they actually want (must-haves)
  • PhD or equivalent experience in machine learning, computational biology, bioengineering, computer science, statistics, or a related quantitative field
  • Hands-on experience building, training, and evaluating ML models for DNA or RNA
  • Strong foundation in modern ML methods, with practical experience using frameworks such as PyTorch, JAX, or equivalent tools
  • Experience developing models for sequence design, sequence-function prediction, generative modeling, or active learning
  • Ability to reason about complex biological systems and formulate ML approaches for sequence-function challenges
  • Curiosity about nucleic acid biology, including RNA biology and regulatory genomics
Nice to have
  • Experience with regulatory element design, sequence-to-expression DNA models, or related functional genomics data
  • Experience with RNA sequence-function modeling, RNA secondary structure modeling, UTR design, or inverse design methods for RNA sequences
  • Experience with sequence design in applied therapeutic contexts
  • Experience collaborating with wet-lab teams to close the design-test-learn loop
  • Familiarity with high-throughput experimental datasets, pooled screens, reporter assays, or other sequence-function measurements
What the job really is

As an ML Scientist I/II at Lila Sciences, you will focus on advancing RNA and DNA sequence design through the development of machine learning models and strategies. Your role involves collaborating with experimental scientists and ML researchers to optimize nucleic acid sequences and integrate these models into Lila's autonomous science platform. You will also investigate biological mechanisms and propose hypotheses to enhance future design principles.

Benefits
  • Competitive base compensation with bonus potential
  • Generous early-stage equity
  • Comprehensive benefits program including medical, dental, and vision coverage
  • Employer-paid life and disability insurance
  • Flexible time off with generous company-wide holidays
  • Paid parental leave
Things to weigh
  • No salary listed beyond the range of $176,000 to $304,000 USD
  • The role requires a strong understanding of both machine learning and biological systems, which may be challenging for candidates without a dual background
  • The position involves collaboration across various teams, which may require strong interpersonal skills and adaptability
Job score2.8/5
Benefits5/5
Freshness1/5
Career value4/5
Role clarity4/5
Pay transparency0/5

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