Genentech · 1 week ago
Senior Machine Learning Scientist, BRAID (Clinical Sciences ML)
South San Francisco, CA
Full-time
Onsite
Senior Level
$167K/yr - $311K/yrGenentech is a leading biotechnology company focused on innovation in healthcare. They are seeking a Senior Machine Learning Scientist to develop novel machine learning methods for clinical trial design and translational medicine, emphasizing integration of biological and clinical data to improve patient outcomes.
BiotechnologyLife ScienceManufacturing
Responsibilities
Design and implement novel machine learning algorithms tailored to the complexities of clinical trial data (e.g., sequence models for patient omics data)
Collaborate with cross-functional teams including biologists, clinicians, data scientists, and other stakeholders to integrate machine learning solutions into clinical decision-making
Work closely with biologists, clinicians, and translational scientists to develop clinically meaningful AI tools that integrate molecular signatures, patient trajectories, and trial outcomes
Analyze large-scale datasets including whole transcriptome, whole exome, and real-world clinical data to derive insights into disease progression, treatment response, and patient stratification
Maintain awareness of current research trends in machine learning for biomedicine and contribute to scientific leadership in this space
Publish research in top-tier ML and computational biology conferences and journals
Qualification
Required
Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, Physics, or a related field
Proven track record of developing and applying advanced ML models in a research or industry setting
Proficiency in scientific programming languages such as Python as well as MLOps workflows (e.g., familiar with code version control, high-performance compute infrastructures, and machine learning experiment monitoring workflows)
Strong experience with ML frameworks such as PyTorch, JAX, or TensorFlow
Solid foundation in probabilistic modeling, deep learning, and representation learning
Excellent communication, collaboration, and problem-solving skills
Strong publication record in ML, bioinformatics, or computational biology venues (e.g., NeurIPS, ICML, ICLR, RECOMB, Bioinformatics)
Preferred
Prior experience developing foundation models for omics or EHR data, including pretraining or fine-tuning strategies
Deep knowledge of representation learning, generative modeling (e.g., VAEs, diffusion models, masked transformers), and multi-modal learning
Experience integrating biological priors (e.g., pathways, ontologies, knowledge graphs) into model design
Passion for advancing healthcare through innovation in ML and computational biology
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.
Founded in 1976
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
Labiotech UG
2026-01-17
2026-01-16
Company data provided by crunchbase