Senior ML Scientist: Perturbation Biology & Systems Modeling

Lila Sciences; San Francisco (CA); On-site; USD 268,000 - 358,000; Full time

Benefits offered by this job

Equity

Comprehensive benefits

Paid time off (flexible)

Job summary

Lila Sciences is seeking a Senior ML Scientist to develop domain models for perturbation biology and high-dimensional data. You will translate biological questions into rigorous ML problems, build interpretable models, and deliver calibrated uncertainty estimates to guide experiments and decision-making.

This role emphasizes collaboration with experimental teams and cross-functional visibility. Ideal candidates hold a PhD in a quantitative field and have a track record of applying ML to biology.

Qualifications

• PhD in machine learning, statistics, computational biology, CS, bioengineering, physics, or related field with strong publication record or equivalent impact.
• Experience building models for high-dimensional biological data.
• Ability to connect ML methods to biology and experimental design.
• Strong problem-solving and communication skills across ML, biology, and experimental teams.

Responsibilities

• Build domain models for perturbation, genetic, and multimodal experimental data.
• Incorporate interpretable structures where biology supports it.
• Quantify uncertainty and calibrate posteriors for predictions.

Skills

Domain modeling

Uncertainty quantification

Experiment design

Cross-functional communication

Education

PhD in a quantitative field

Job description

Lila Sciences is seeking a Senior ML Scientist to develop domain models for perturbation biology and high-dimensional data. You will translate biological questions into rigorous ML problems, build interpretable models, and deliver calibrated uncertainty estimates to guide experiments and decision-making.

This role emphasizes collaboration with experimental teams and cross-functional visibility. Ideal candidates hold a PhD in a quantitative field and have a track record of applying ML to biology.