About The Position

Join the small-molecule team within AI for Drug Discovery (AI4DD), formerly Prescient Design, at Roche and Genentech’s Computational Sciences Center of Excellence as a Machine Learning Scientist / Senior Machine Learning Scientist building agents for applied small-molecule drug design. You will develop autonomous, LLM-driven agentic workflows that orchestrate ML models, physics-based methods, and cheminformatics tools to accelerate discovery, working with world-class chemists and structural biologists.

Requirements

  • Experienced developing LLM-driven agents for scientific workflows and understanding how to orchestrate tools and models reliably.
  • Strong machine-learning foundations in linear algebra, probability and optimization.
  • Hands-on experience with GNNs, sequence/language models and reinforcement learning.
  • Fluent in Python and modern agentic coding environments such as LangChain.
  • Fluent in ML frameworks such as PyTorch or JAX.
  • Fluent in cheminformatics toolkits like RDKit or OpenEye.
  • PhD or equivalent research depth in machine learning, computer science, chemical engineering or a related quantitative field such as physics or statistics.
  • A record of scientific excellence evidenced by journal and conference publications or a public portfolio of relevant projects (e.g. hosted on GitHub/GitLab).

Nice To Haves

  • Hands-on experience orchestrating multi-tool or multi-agent scientific pipelines.
  • Hand-on experience working along the small molecule drug discovery value chain and an excitement to engage with chemists.
  • Familiarity with structural biology datasets.

Responsibilities

  • 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.

Benefits

  • A discretionary annual bonus may be available based on individual and Company performance.
  • Benefits detailed at the link provided below.

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What This Job Offers

Job Type

Full-time

Career Level

Senior

Education Level

Ph.D. or professional degree

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