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Lila Sciences

ML Scientist I/II, Nucleic Acid Design

Lila Sciences · San Francisco, CA USA

Posted about 2 months ago

or apply directly on Lila Sciences's site. We never take the application ourselves.

Is this posting real?

This role has been open
54 days
Lila Sciences's roles stay open a median of 55 days
Reposted
No
Salary listed
No
0% of Lila Sciences's roles list one
Ghost-job risk at Lila Sciences
high
104 stale, 2 reposted of 118 open
Hiring momentum
155 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-27

Measured from postings appearing on and disappearing from Lila Sciences's own greenhouse board since 2026-08-03. Full hiring picture for Lila Sciences.

About this role

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.

Our read on this posting2.8out of 5
benefits
5/5
freshness
1/5
career value
4/5
role clarity
4/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Lila Sciences as an employer.

What you need

  • 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 you get

  • 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

Worth weighing

  • 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

Summarised from Lila Sciences's posting. Read the full original.

Listed by Lila Sciences on their greenhouse job board, last confirmed open on 2026-09-27. PitchMeAI is not the employer.

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