Senior ML Scientist — Mechanistic Biology & Uncertainty

Lila Sciences; San Francisco (CA); Vor Ort; USD 268.000 - 358.000; Vollzeit

Benefits dieser Stelle

Medical, dental, vision coverage

Life and disability insurance

Flexible time off

Parental leave

Educational assistance

Commuter benefits including bike share

Company lunch program

Zusammenfassung

Lila Sciences is seeking a Senior ML Scientist to advance domain models for perturbation biology, genetics, and multimodal data. You will shape models that connect biology, experiments, and therapeutic opportunity, with a focus on calibrated uncertainty and interpretable outputs.

You will partner with experimental scientists to guide data generation and model validation, design performance benchmarks, and help deploy models into practical decision-making workflows across medicine and discovery.

Qualifikationen

• PhD in machine learning, statistics, computational biology, or related quantitative field with strong publication record or impact.
• Experience developing models for high-dimensional biological data and connecting ML to biology.
• Generalization under structured sparsity and transfer to new contexts.
• Uncertainty analysis, calibration, and evaluation design in data-driven decisions.
• Strong programming skills and ability to lead ambiguous research from idea to execution.

Aufgaben

• Build domain models for perturbation, genetic, and multimodal data.
• Make uncertainty a deliverable with calibrated posteriors and honest error bars.
• Pre-register and compare baselines; report if full model fails.
• Collaborate with experimental scientists to guide data generation and validation.
• Design benchmarks linking model performance to biological and therapeutic outcomes.
• Support integration of domain models into agentic workflows and tooling.

Kenntnisse

Perturbation biology models

Uncertainty quantification

Multimodal data modeling

Bayesian modeling

Interpretability

Ausbildung

PhD in ML/CS/Biology

Tools

PyTorch

TensorFlow

Probabilistic programming

Jobbeschreibung

Lila Sciences is seeking a Senior ML Scientist to advance domain models for perturbation biology, genetics, and multimodal data. You will shape models that connect biology, experiments, and therapeutic opportunity, with a focus on calibrated uncertainty and interpretable outputs.

You will partner with experimental scientists to guide data generation and model validation, design performance benchmarks, and help deploy models into practical decision-making workflows across medicine and discovery.