Roche · 3 hours ago
Senior Machine Learning Scientist - AI - Lab Automation Software
South San Francisco
Full-time
Onsite
Senior Level
$148K/yr - $274K/yr
5+ years expRoche is dedicated to innovating healthcare and advancing science for better patient outcomes. The Senior Machine Learning Scientist will lead the development and deployment of predictive models and optimization frameworks to enhance lab automation and accelerate drug discovery.
BiotechnologyHealth CareHealth DiagnosticsOncologyPharmaceuticalPrecision Medicine
Responsibilities
Develop, deploy, and validate machine learning (ML) models using diverse, multimodal data (analytical data, images, and metadata) to accurately predict experimental outcomes in production
Apply advanced statistical experimental design and optimization techniques to build and deploy the core algorithms for autonomous decision-making systems in automated workflows
Develop and integrate ML models for intelligent quality control and experimental error modeling to provide real-time automated detection of anomalies, system drifts, or physical error in lab workflows
Drive the roadmap and technical implementation of leveraging large language models (LLMs) to translate high-level scientific intent and assay protocols into validated, machine-executable automation programs
Partner with scientific experts and engineers to lead exploratory data analysis (EDA) and data QC efforts, defining the data requirements and modeling approaches necessary for reliable deployment
Act as an internal subject matter expert on cutting-edge AI/ML trends and ensure all models are production-ready, robustly documented, version-controlled, and meet high standards of scientific rigor
Qualification
Required
MS/BS in Computer Science, Statistics, or related field with 5+ years of industry experience in AI/ML, or a PhD with 2+ years of experience focused on deploying ML solutions in a production or translational research setting
Proven record of impact as evidenced by publications, patents, or significant technical contributions to large-scale scientific or automation projects
Hands-on experience developing and operationalizing complex ML models for unstructured and multimodal data (e.g., deep learning for imaging, time-series analysis for instrument data, and metadata fusion)
Expert proficiency in the Python data science stack and modern ML frameworks (e.g., PyTorch)
Passion for translating cutting-edge AI/ML research into high-impact, real-world scientific applications that accelerate therapeutic discovery
A dynamic individual who excels in a rapidly evolving environment, taking initiative on projects and continuously learning and adapting to new challenges and opportunities
Preferred
Practical experience in computational design of experiments (DoE) and optimization methods (e.g., Bayesian optimization, Reinforcement Learning) for closed-loop systems
Practical experience with the application of large language models (LLMs) for scientific text abstraction
Public portfolio of projects available on GitHub/GitLab demonstrating production or research capabilities
Strong understanding of lab workflows and the drug discovery pipeline, ideally with foundational training in biology or chemistry
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.
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
2026-01-16
Pharmaceutical Technology
2026-01-13
Company data provided by crunchbase