Genentech · 2 weeks ago
Applied/Senior Applied AI Scientist, Translational AI Lab (TRAIL)
South San Francisco, CA
Full-time
Onsite
Mid, Senior Level
$128K/yr - $237K/yr
0+ years expGenentech is a company focused on advancing science and ensuring access to healthcare. They are seeking a Senior Applied AI Scientist to work within the Translational AI Lab, applying state-of-the-art AI methods to solve challenges in disease biology and translational research, while 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
Ph.D. or M.S. (with relevant experience) in Machine Learning, Computer Science, Data Science, Computational Biology, or a related quantitative field
0-3 years of relevant experience in AI, machine learning, or computational biology
Strong technical foundation in deep learning and probabilistic modeling, with demonstrated project or publication experience
Experience building and deploying ML/AI pipelines using Python, PyTorch, HuggingFace, and/or JAX; familiarity with tools like LangChain, Streamlit, or MLFlow is a plus
Able to adapt and apply existing AI models (e.g., LLMs, encoders, transformers) in a rigorous, reproducible way to new biological domains
Comfort working with biological or clinical data types—or strong interest in learning and collaborating closely with domain experts
Excellent communicator who can collaborate in multi-disciplinary settings and explain technical results to scientific partners
Ph.D. or M.S. (with relevant experience) in Machine Learning, Computer Science, Data Science, Computational Biology, or a related quantitative field
3-6 years of relevant experience in AI, machine learning, or computational biology
Strong technical foundation in deep learning and probabilistic modeling, with demonstrated project or publication experience
Experience building and deploying ML/AI pipelines using Python, PyTorch, HuggingFace, and/or JAX; familiarity with tools like LangChain, Streamlit, or MLFlow is a plus
Able to adapt and apply existing AI models (e.g., LLMs, encoders, transformers) in a rigorous, reproducible way to new biological domains
Comfort working with biological or clinical data types—or strong interest in learning and collaborating closely with domain experts
Excellent communicator who can collaborate in multi-disciplinary settings and explain technical results to scientific partners
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
Relocation benefits are available for this job posting.
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
Recent News
2026-01-07
MarketScreener
2026-01-06
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