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Applied ML Scientist
Genesis Molecular AIAI-driven Drug company
San Mateo, United StatesLead
Andreessen Horowitz
T. Rowe Price
Radical Ventures
NVentures
Rock Springs Capital
Fidelity
Data & AI
About the role
TL;DR
Build, evaluate, and improve state-of-the-art models for drug discovery.
- •Join a world-class team at the forefront of AI and biochemistry.
- •We are conducting fundamental research at the intersection of machine learning, physics, and computational chemistry.
- •Key Responsibilities Work directly with project teams to assess model performance and utility.
- •Assist experimental colleagues with use and interpretation of model predictions.
- •Evaluate model quality by validating predictions against project data and benchmarks.
- •Curate internal and external datasets for model training and validation.
- •Contribute to design and analysis of experiments on model changes and alternative architectures.
- •Requirements A seasoned computational scientist with a proven track record of machine learning based methods to impact small molecule drug discovery projects.
- •A cheminformatics expert, fluent in the language of molecular data with hands-on mastery of tools like RDKit or OpenEye.
- •A scientist who speaks the language of experimental drug discovery, with a strong familiarity with common assay types and CADD workflows.
- •A rigorous data scientist, with experience in modeling and analysis of small molecule datasets and passion for statistical validation, uncertainty quantification, and deriving clear insights from complex, noisy data.
- •A hands-on applied scientist and software engineer with strong coding skills in Python and a deep practical knowledge of the applied ML toolkit.
- •An exceptional communicator and collaborator, able to act as the bridge between machine learning researchers and experimental scientists.
Required skills
Pythonscikit-learn
Nice-to-have skills
SQL
Domain expertise
biotech
Benefits & perks
Competitive compensation package, Comprehensive health benefits, 401(k) plan, Open PTO policy, Free lunches and dinners, Paid family leave, Life and disability insurance
Tech stack
Pythonscikit-learnSQL
