Roche · 7 months ago
Senior Machine Learning Scientist, BRAID (Clinical Sciences ML)
South San Francisco
Full-time
Onsite
Senior Level
$167K/yr - $311K/yrRoche is committed to advancing science and ensuring healthcare access for all. They are seeking a Senior Machine Learning Scientist to join the BRAID team, focusing on developing novel machine learning methods to improve clinical trial design and translational medicine, particularly in clinical genomics and real-world data integration.
BiotechnologyHealth CareHealth DiagnosticsOncologyPharmaceuticalPrecision Medicine
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.
This position also qualifies for the benefits detailed at the link provided below.
Company
Roche
Roche is a pharmaceutical and diagnostics company that offers medicines and diagnostic tests for various medical conditions and diseases.
Founded in 1896
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