Roche · 5 months ago
Applied/Senior Applied AI Scientist, Translational AI Lab (TRAIL)
South San Francisco
Full-time
Onsite
Mid, Senior Level
$148K/yr - $274K/yr
0+ years expRoche is a leading healthcare company focused on innovation and advancing science for a healthier future. The Translational AI Lab (TRAIL) is seeking an Applied/Senior Applied AI Scientist to apply state-of-the-art AI methods to address challenges in disease biology and translational research, working closely with various teams to integrate AI models into scientific workflows.
BiotechnologyHealth CareHealth DiagnosticsOncologyPharmaceuticalPrecision Medicine
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 for Scientist level
3-6 years of relevant experience in AI, machine learning, or computational biology for Senior Scientist level
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
Roche
Roche is a pharmaceutical and diagnostics company that offers medicines and diagnostic tests for various medical conditions and diseases.
10001+ employees
H1B Sponsorship
Roche 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 (12)
2024 (9)
2023 (6)
2022 (2)
2021 (2)
Funding
Current Stage
Public CompanyTotal Funding
$7.79BKey Investors
SoftBankSCALE AINovartis
2021-08-04Post Ipo Equity· $5B
2020-12-07IPO
2020-05-06Post Ipo Equity· $0.5M
Leadership Team
Alan Hippe
Member of the Executive Board - Group CFO
Christine Bakan
Global Head and VP of Software and Bioinformatics, Next Generation Sequencing
Recent News
2025-12-30
2025-12-27
Company data provided by crunchbase