ML Scientist: Agentic AI for Small Molecule Drug Design

Genentech; New York (NY); Sur place; USD 141 000 - 262 000; Plein temps

Avantages offerts par ce poste

#ComputationCoE

#tech4lifeComputationalScience

#tech4lifeAI

Résumé du poste

Genentech’s Computational Sciences Center of Excellence seeks a Machine Learning Scientist to build autonomous agentic workflows for small-molecule design. You will work with chemists and structural biologists to accelerate discovery, using cutting-edge ML and cheminformatics tools.

Applicants should have a PhD or equivalent, strong ML fundamentals, and experience with LangChain, PyTorch/JAX, and RDKit/OpenEye. This is a research-heavy role in a premier biotech setting.

Qualifications

• PhD or equivalent in ML/CS/engineering or related field.
• Up to 2 years industry research for Scientist or 2+ years for Senior Scientist.

Responsabilités

• Design and build agentic ML workflows for small-molecule drug design.
• Fine-tune foundation models using internal/external datasets and tools.
• Collaborate with chemists and structural biologists to validate hypotheses.
• Publish results and contribute to open-source and conferences.

Connaissances

LLM-driven agents

ML foundations

GNNs

sequence models

reinforcement learning

Python

LangChain

PyTorch

JAX

RDKit/OpenEye

Formation

PhD or equivalent

Outils

LangChain

PyTorch

JAX

RDKit

OpenEye

Description du poste

Genentech’s Computational Sciences Center of Excellence seeks a Machine Learning Scientist to build autonomous agentic workflows for small-molecule design. You will work with chemists and structural biologists to accelerate discovery, using cutting-edge ML and cheminformatics tools.

Applicants should have a PhD or equivalent, strong ML fundamentals, and experience with LangChain, PyTorch/JAX, and RDKit/OpenEye. This is a research-heavy role in a premier biotech setting.