Machine Learning Scientist - Drug Discovery

capable • United States

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AI Summary

Build machine-learning systems to accelerate drug discovery and development by identifying bottlenecks and creating predictive tools. This role spans research and engineering, requiring strong biomolecular modeling judgment and the ability to own ambiguous problems end-to-end. Ideal candidates are curious, analytical, and have a practical interest in wet-lab realities.

Key Highlights

Build ML systems for drug discovery bottlenecks.

Integrate research and engineering with wet-lab scientists.

Own ambiguous problems from identification to implementation and improvement.

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Key Responsibilities

Work with scientists to identify high-value bottlenecks in drug discovery and development where machine learning can materially improve speed or decision quality.

Build systems for experiment planning, literature triage, protocol drafting, in silico screening, candidate generation, filtering, and predictive analysis.

Fine-tune and apply biomolecular models such as ESM, AlphaFold-family models, RFdiffusion, ProteinMPNN, and related approaches using Capable’s data.

Develop candidate-analysis workflows that may include molecular dynamics, post-training, probing, evaluation, and other fit-for-purpose computational methods.

Work directly with wet-lab scientists and operators to automate preclinical or clinical-development workflows and make tools usable in practice.

Build active-learning loops that connect in silico predictions to in vivo results.

Create internal evaluations that measure whether models and tools improve experimental throughput, candidate quality, or program decisions.

Technical Skills Required

Machine Learning Biomolecular Modeling Drug Discovery

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Benefits & Perks

Generous equity options

$500+ monthly wellness budget

100% covered medical, dental, and vision insurance

HSA, FSA, and 401K plans

Daily healthy dinners with the team

Visa sponsorship

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Nice to Have

Active learning

Data-constrained biological modeling

Multimodal omics

Imaging

Phenotypic data

Production-scale agent platforms

Job Description

We are a vibrant and intensely mission-driven team in San Francisco, comprising members from MIT, Harvard Medical School, Roche, ETH, and Dana-Farber.We value speed and rigor, coupled with excitement, drive, and a strong work ethic. In an early-stage environment, we value people who can bring clarity to open-ended problems, take ownership of the next steps, and follow through with energy.Capable Labs is a place for ambitious, high-integrity people who want to become dramatically better. You will be surrounded by people who care intensely about the work, get close feedback from the people making scientific and company-defining decisions, and have room to own increasingly important problems.

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