Applied ML Scientist, Cheminformatics Lead

Genesis

Burlingame (CA)

On-site

USD 180,000 - 240,000

Full time

14 days+

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Benefits offered by this job

Salary and equity
Health benefits
401(k) plan
Unlimited PTO
Free meals

Job summary

Genesis Molecular AI is building advanced AI foundations for drug discovery in California. This role is for a scientist who bridges long-term research with experimental programs, deploying state-of-the-art models into active drug projects.

You will validate models, guide discovery, and collaborate with ML researchers and experimental scientists. Strong background in cheminformatics, computational chemistry, and data science is essential; opportunities for growth and impact exist in a highly

Qualifications

  • This role seeks a seasoned computational scientist with ML-based methods to impact drug discovery.
  • Proficiency in cheminformatics and molecular data handling is required.
  • Strong data science skills and experience with applied ML toolkits.

Responsibilities

  • Work with project teams to assess model performance and utility for current project needs.
  • Assist experimental colleagues with interpretation of model predictions and uncertainty.
  • Evaluate model quality by validating predictions against project data and benchmarks.
  • Curate internal and external datasets for training and validation.
  • Contribute to design and analysis of experiments on model changes.

Skills

Computational science
Cheminformatics
Drug discovery
Python
ML tooling

Education

PhD preferred in a relevant field

Tools

RDKit
OpenEye

Job description

Genesis Molecular AI is building advanced AI foundations for drug discovery in California. This role is for a scientist who bridges long-term research with experimental programs, deploying state-of-the-art models into active drug projects.

You will validate models, guide discovery, and collaborate with ML researchers and experimental scientists. Strong background in cheminformatics, computational chemistry, and data science is essential; opportunities for growth and impact exist in a highly

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