Genentech · 13 hours ago
Principal Applied AI Scientist, Translational AI Lab (TRAIL)
South San Francisco, CA
Full-time
Onsite
Senior Level, Lead/Staff
$172K/yr - $320K/yr
5+ years expGenentech is a leader in healthcare innovation, dedicated to advancing science for better patient outcomes. The Principal Applied AI Scientist will apply state-of-the-art AI methods to address challenges in disease biology and translational research, collaborating with diverse teams to integrate AI capabilities into scientific workflows.
BiotechnologyLife ScienceManufacturing
Responsibilities
Apply and fine-tune foundation models—such as large language models (LLMs), generative models, and multimodal encoders—for biological annotation, knowledge extraction, and biomarker hypothesis generation
Design workflows and pipelines that integrate model outputs with real-world biological data (e.g., gene expression, perturbation screens, clinical biomarkers)
Evaluate model performance, robustness, and interpretability in collaboration with BRAID and therapeutic scientists
Build tools and interfaces (e.g., notebooks, dashboards, chat-based validation flows) that connect AI capabilities with experimental and translational use cases
Contribute to internal benchmarking, testing, and validation frameworks that enable scientific and strategic decision-making
Collaborate across diverse teams of biologists, modelers, and software engineers to translate AI capabilities into program-level insights
Qualification
Required
PhD (or equivalent) in a quantitative discipline (e.g., Computational Biology, Computer Science, Machine Learning, Mathematics, Statistics, Physics) or in a biological field (e.g., Oncology, Immunology, Molecular Biology) with demonstrated computational fluency
Minimum of 5 years of post-PhD experience in drug discovery, translational biology, or related computational science fields
Consistent and sustained record of scientific excellence in high-impact publications
Thought leadership in a relevant scientific domain
Proven ability to lead and influence cross-functional projects
Strong mentoring record and demonstrated investment in talent development
Recognized as a domain expert and innovator, capable of shaping scientific direction and organizational strategy
External collaborations, invited talks, and involvement in scientific communities are valued
Preferred
Exposure to biomedical or multiomic data (e.g., single-cell, bulk RNA-seq, CRISPR screens, protein interaction networks)
Hands-on experience with LLM-based workflows, prompt engineering, fine-tuning, or real-time retrieval and evaluation systems (e.g., RAG, AutoGen)
Experience with benchmarking, evaluation frameworks, or model interpretability in applied settings
Prior involvement in translational research, target discovery, or biomarker identification is a plus but not required
Benefits
A discretionary annual bonus may be available based on individual and Company performance.
Company
Genentech
Genentech is a biotechnology research company that specializes in genetic testing and personalized medicines.
10001+ employees
H1B Sponsorship
Genentech has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (167)
2024 (148)
2023 (150)
2022 (178)
2021 (121)
2020 (158)
Funding
Current Stage
Public CompanyTotal Funding
unknown2009-03-26Acquired
1999-07-20IPO
1976-01-01Series Unknown
Leadership Team
Ashley Magargee
Chief Executive Officer
Michael Laird
Vice President, Global MSAT Drug Substance Biologics Technology and Commercial Products Support
Recent News
2026-01-23
Genetic Engineering News
2026-01-23
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