Senior ML Scientist, Protein AI for Drug Discovery

Genentech; South San Francisco (CA); On-site; USD 167,000 - 311,000; Full time

Benefits offered by this job

Discretionary annual bonus

Job summary

Genentech is seeking a Senior Machine Learning Scientist to join the AI for Drug Discovery group within the Computational Sciences Center of Excellence. You will help drive research on ML for antibody discovery and large-molecule design, collaborating with scientists across gRED and pRED to apply next-generation models to biology.

The role emphasizes developing ML methods, working with big datasets, and contributing to publications.

Qualifications

• PhD or equivalent with 3+ years in a relevant field.
• Extensive experience with large datasets including graphs, sequences, and 3D data.
• First-author publication in a scientific journal or ML conference.
• Public portfolio of projects on GitHub.

Responsibilities

• Develop generative and representation learning ML models for proteins/antibodies (zero-shot & few-shot).
• Collaborate across disciplines to build impactful drug discovery tech.
• Scale ML techniques to massive datasets used in biology and chemistry.
• Publish results and present at internal/external conferences.

Skills

Deep learning

Python

PyTorch

Large datasets

Collaboration

Education

BS/MS/PhD in a relevant field

Tools

GitHub

Job description

Genentech is seeking a Senior Machine Learning Scientist to join the AI for Drug Discovery group within the Computational Sciences Center of Excellence. You will help drive research on ML for antibody discovery and large-molecule design, collaborating with scientists across gRED and pRED to apply next-generation models to biology.

The role emphasizes developing ML methods, working with big datasets, and contributing to publications.