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Senior Machine Learning Scientist - Agents for Applied Small Molecule Drug Design, AI for Drug Discovery
RocheMachine Learning Scientist at Roche developing agent workflows for small-molecule drug design and collaborating within AI for Drug Discovery team. Utilizing AI and computational methods to transform drug discovery.
Posted 6/21/2026full-timeSan Francisco • California, New York • 🇺🇸 United StatesSenior💰 $147,600 - $274,000 per yearWebsite
Tech Stack
Tools & technologiesPythonPyTorch
About the role
Key responsibilities & impact- Design, build, and apply agentic workflows and ML models for key challenges in small-molecule drug design.
- Fine-tune foundation models for drug discovery relevant topics using internal and external datasets and tools.
- Optimize agent-derived hypotheses in close collaboration with world-class computational and medicinal chemists and structural biologists.
- Drive scientific impact through publications, open-source releases, and conference talks.
- Collaborate widely with computational and experimental researchers at Roche and with academic partners.
Requirements
What you’ll need- You hold a PhD or equivalent research depth in machine learning, computer science, chemical engineering or a related quantitative field such as physics or statistics.
- You are experienced developing LLM-driven agents for scientific workflows and you understand how to orchestrate tools and models reliably.
- You bring strong machine-learning foundations in linear algebra, probability and optimization, with hands-on experience with GNNs, sequence/language models and reinforcement learning.
- You are fluent in Python and modern agentic coding environments such as LangChain, ML frameworks such as PyTorch or JAX, as well as cheminformatics toolkits like RDKit or OpenEye.
- You have a record of scientific excellence evidenced by journal and conference publications or a public portfolio of relevant projects (e.g. hosted on GitHub/GitLab).
Benefits
Comp & perks- Relocation benefits are NOT available for this opportunity
- A discretionary annual bonus may be available based on individual and Company performance.
- This position also qualifies for the benefits detailed at the link provided below.
ATS Keywords
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Hard Skills & Tools
machine learninglinear algebraprobabilityoptimizationGNNssequence modelslanguage modelsreinforcement learningPythonagentic workflows
Soft Skills
collaborationcommunicationscientific impact
Certifications
PhD