Lila Sciences

3 months ago

ML Scientist I / II, Foundation Models for Life Sciences

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 15 hours agoStatus: Live

Job Summary

Join the Foundation Models team at Lila Sciences to advance generative AI for life sciences. You’ll design, train, and evaluate foundation models across biological sequences, structures, and multimodal data; own sub-problems end-to-end; collaborate with wet-lab and computational biologists; and help integrate models into a closed-loop discovery engine while advancing research quality.

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Key Responsibilities

•Contribute to research on foundation models for life science applications, including biological sequence design, structure prediction, and multimodal scientific reasoning
•Design, train, and evaluate generative models on biological and chemical data, incorporating domain-specific constraints and priors
•Be part of the end-to-end ML process within Lila's Lab-in-the-Loop lifecycle: support data generation strategy, build pipeline models, and help design feedback loops where experimental results improve model performance
•Translate biological questions into well-defined ML problems and interpret model outputs in collaboration with wet-lab scientists and computational biologists
•Support research quality and methodology standards within the foundation models program

Pay and Benefits

Salary: USD 176,000 - 304,000 annually

Perks:Health InsuranceDentalVisionCommuter BenefitsMeal Allowance

Key Requirements

•PhD in Computer Science, Machine Learning, Computational Biology, or a related quantitative field (or Master’s with equivalent research experience)
•Strong foundation in generative model architectures and training, with hands-on experience in model development and evaluation
•Ability to formulate and execute research independently, from problem definition through experimentation
•Familiarity with at least one life science domain (molecular biology, genomics, protein engineering, nucleic acid design, or related)
•Experience collaborating with experimental scientists or working with biological/chemical data

Experience:Life sciencesAI for science

Education:Master's

Skills:PyTorchJAXTensorFlowGPUMachine learningGenerative modelsBiologyBiochemistryGenomics

Languages:English

Tech Stack:PyTorchJAXTensorFlowGPUBiological dataMultimodal dataStructure prediction

Company Brief

Lila Sciences

Develops AI-driven platforms to accelerate drug discovery and biological research by integrating machine learning with chemical and biological data to predict molecular properties, streamline candidate selection, and enable faster therapeutic development.

Industry: Biotech

Company Size: Small (11 to 50 employees)

Growth: Early Stage Startup

Funding: Seed

Website LinkedIn

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Lila Sciences

3 months ago

ML Scientist I / II, Foundation Models for Life Sciences

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 15 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Key Responsibilities

•Contribute to research on foundation models for life science applications, including biological sequence design, structure prediction, and multimodal scientific reasoning
•Design, train, and evaluate generative models on biological and chemical data, incorporating domain-specific constraints and priors
•Be part of the end-to-end ML process within Lila's Lab-in-the-Loop lifecycle: support data generation strategy, build pipeline models, and help design feedback loops where experimental results improve model performance
•Translate biological questions into well-defined ML problems and interpret model outputs in collaboration with wet-lab scientists and computational biologists
•Support research quality and methodology standards within the foundation models program

Pay and Benefits

Salary: USD 176,000 - 304,000 annually

Perks:Health InsuranceDentalVisionCommuter BenefitsMeal Allowance

Key Requirements

•PhD in Computer Science, Machine Learning, Computational Biology, or a related quantitative field (or Master’s with equivalent research experience)
•Strong foundation in generative model architectures and training, with hands-on experience in model development and evaluation
•Ability to formulate and execute research independently, from problem definition through experimentation
•Familiarity with at least one life science domain (molecular biology, genomics, protein engineering, nucleic acid design, or related)
•Experience collaborating with experimental scientists or working with biological/chemical data

Experience:Life sciencesAI for science

Education:Master's

Skills:PyTorchJAXTensorFlowGPUMachine learningGenerative modelsBiologyBiochemistryGenomics

Languages:English

Tech Stack:PyTorchJAXTensorFlowGPUBiological dataMultimodal dataStructure prediction

Company Brief

Lila Sciences

Industry: Biotech

Company Size: Small (11 to 50 employees)

Growth: Early Stage Startup

Funding: Seed

Website LinkedIn