Senior Scientist, Computational Antibody Design

Genentech; South San Francisco (CA); On-site; USD 168,000 - 312,000; Full time

Job summary

Genentech, part of Roche, is seeking a Senior Scientist to advance AI-driven antibody design and developability assessment within gRED/pRED collaborations. You will translate computational predictions into actionable insights for portfolio projects and help scale models toward production-ready use.

The role emphasizes cross-functional teamwork with scientists and engineers, publication-quality research, and impact on real discovery challenges in a fast-evolving Biotech setting in California.

Qualifications

• PhD in Computational Biology, Biophysics, Chemistry, or related field, or equivalent experience (5–8 years in ML/computational methods or biophysics).
• Strong developability/biophysical modeling or antibody engineering knowledge.
• Proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX).
• Experience with molecular modeling tools and biophysical analysis.
• First‑author publications or equivalent research contributions.

Responsibilities

• Apply developability modeling to active portfolio projects in gRED and pRED, translating computational predictions into actionable guidance for antibody engineering teams
• Support the continuation and evolution of our molecular assessment research efforts in partnership with Antibody Engineering stakeholders, ensuring continuity and quality of ongoing work
• Interface with portfolio scientists and stakeholders to understand their scientific challenges and translate those into computational approaches; clearly communicate model outputs and limitations
• Contribute to method development in developability prediction, biophysical modeling, and ML model improvement—identifying gaps in our current approaches and proposing solutions
• Work with our modeling and platform teams to transition research‑stage models into production‑ready components that can be reliably used on portfolio projects
• Develop technical relationships and credibility with gRED/pRED stakeholders, establishing yourself as a trusted resource for computational support in antibody design

Skills

Python

ML frameworks (PyTorch/TF/JAX)

Biophysics knowledge

Developability assessment

Antibody engineering

Education

PhD in Computational Biology/Biophysics/Chemistry or related field

Tools

Molecular modeling tools

Biophysical analysis tools

Job description

Genentech, part of Roche, is seeking a Senior Scientist to advance AI-driven antibody design and developability assessment within gRED/pRED collaborations. You will translate computational predictions into actionable insights for portfolio projects and help scale models toward production-ready use.

The role emphasizes cross-functional teamwork with scientists and engineers, publication-quality research, and impact on real discovery challenges in a fast-evolving Biotech setting in California.