Genentech
Pioneering Biotechnology Since 1976
Machine learning & AI jobs at Genentech
Genentech has 27 open machine learning, AI and data science roles on CompBioJobs. Across 67 of its AI/ML postings that state pay, the typical posted range is $167K–$312K.
- Vice President, Global Head of AI for Drug Discovery (AIDD) · South San Francisco
- Senior Director, Data Management & Analytical Data Science Solutions · Boston
- Senior Machine Learning Engineer, Agentic Science/Generative Models, AI for Biology & Translation (AIBT) · South San Francisco
- Senior Machine Learning Research Scientist, Structure and Simulation (AI for Drug Discovery) · New York City
- Machine Learning Engineer/Senior Machine Learning Engineer - Devops, AI for Drug Discovery · New York City
- Senior AI Engineer- Imaging · South San Francisco
- Machine Learning Engineer (AI Enablement) · South San Francisco
- Senior Data Scientist (AI-assisted Clinical Development) · Boston
- Principal Scientist, SOP & Workflow Automation Champion, AI for Drug Discovery (AIDD) · South San Francisco
- Senior Physical AI & Robotics Scientist - Lab Automation · South San Francisco
| Level | Posted pay, AI/ML roles | Postings |
|---|---|---|
| Senior | $148K–$274K | 19 |
| Principal | $189K–$351K | 14 |
Median posted minimum to median posted maximum, base salary, open and closed postings; levels with fewer than 6 postings left out. Industry-wide: AI drug discovery & ML salaries.
About Genentech
Funding & Growth
✓ Pros
- • Industry-leading compensation and benefits
- • Cutting-edge science with real patient impact
- • Excellent work-life balance for pharma
- • Beautiful South SF campus
- • Strong internal mobility and career growth
- • Publication-friendly culture
- • Roche stability with biotech innovation
✗ Cons
- • Large company with some bureaucracy
- • Some Roche integration friction
- • Bay Area cost of living
- • Competitive internal transfers
- • Long timelines for drug development
🏢 Working Here
Genentech is the birthplace of the biotechnology industry and consistently ranks among the best places to work in biopharma.
The South San Francisco campus offers stunning Bay views, on-site amenities, and a collaborative atmosphere.
Bioinformatics teams are embedded across Therapeutic Areas (oncology, immunology, neuroscience) and platform groups (computational biology, data science, research IT).
Work ranges from early discovery (target identification, MOA studies) to clinical development (biomarker analysis, companion diagnostics).
The culture balances scientific rigor with business impact.
Unlike pure pharma, Genentech maintains a startup mentality with regular hack days and innovation time.
Collaboration between computational and wet-lab scientists is highly valued.
Compensation is exceptional - base salaries are top-tier, with generous bonuses (15-25%) and stock/equity.
Benefits include sabbaticals, education reimbursement, and excellent healthcare.
🧬 Bioinformatics Focus
Genentech's computational biology spans the entire drug development pipeline:
- Target Discovery - Large-scale genomics (GWAS, eQTL), functional genomics (CRISPR screens), and multi-omic integration to identify drug targets.
- Translational Research - Biomarker discovery, patient stratification, and companion diagnostic development for clinical trials.
- Single - Cell & Spatial - Industry-leading single-cell capabilities (dissociation, sequencing, analysis) and spatial transcriptomics for tissue biology.
- Machine Learning - Deep learning for drug response prediction, image analysis, and molecular property prediction.
- Clinical Genomics - NGS panel development, ctDNA analysis, and real-world evidence integration. Key groups include Computational Sciences, Translational Oncology, and the Digital Innovation Lab.
📈 Career Growth & Development
Career Paths
Individual Contributor
Management
Top Compensation
Compensation is base salary + annual bonus + equity. Ranges computed from Genentech's own postings are on the Salaries tab.
Clear Progression
Well-defined levels with competency matrices. Typical progression: 2-3 years per level with strong performance.
Internal Mobility
Move between oncology, immunology, neuroscience, or into clinical/commercial. Lateral moves are encouraged.
Work-Life Balance
Flexible hours, remote options, and strong PTO. Sabbatical available after 6 years.