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Roche

Senior Machine Learning Scientist - Agents for Applied Small Molecule Drug Design, AI for Drug Discovery

Roche

Machine 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 & technologies
PythonPyTorch

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