Genentech · 10 hours ago
Principal DSX Data Scientist
South San Francisco, CA
Full-time
Onsite
Senior Level, Lead/Staff
$177K/yr - $329K/yr
5+ years expGenentech is committed to advancing science and ensuring access to healthcare. The Data Scientist in the Data Science Acceleration team is responsible for developing scalable tools and workflows for statistical computing, while collaborating with various teams to support evidence generation and decision-making.
BiotechnologyLife ScienceManufacturing
Responsibilities
You lead the design and development of complex components within DSX-owned statistical platforms and systems, including tools, libraries, and workflows that accelerate statistical computing and insight generation across PDD
You translate high-level strategic and scientific needs into scalable, production-grade technical solutions, balancing innovation, usability, and compliance
You guide architecture and engineering decisions for core programming infrastructure, ensuring alignment with internal standards and external best practices
You provide expert input on programming automation, workflow orchestration, and performance optimization across data science pipelines
You act as a thought leader and resource on reproducibility, software quality, and statistical computing efficiency across PDD functions
You lead substreams or work packages within global cross-functional projects, working in close collaboration across industry and with internal teams such as biostatistics, programming, translational science, and platform engineering
You serve as a mentor to less experienced colleagues, promoting best practices in software development, analytics tooling, and scientific collaboration
You drive evaluation and integration of emerging technologies that enhance Roche’s ability to generate reliable, timely, and scalable evidence
Qualification
Required
You hold a PhD or Master's degree in Computer Science, Data Science, Statistics, Bioinformatics, Engineering, or a related quantitative field
You have a minimum of 5 years of relevant experience in scientific software development, statistical computing, or data science, preferably in a regulated or clinical research environment
You have proven experience leading the design and delivery of large-scale tools, infrastructure components, or computing environments that support data analysis across functions
You have deep proficiency in programming languages such as Python and/or R, and fluency with best practices in software engineering (e.g., version control, testing, CI/CD, modular code)
You have a strong understanding of statistical programming needs in the context of clinical trials, regulatory analysis, or real-world evidence generation
You have demonstrated ability to lead cross-functional workstreams and influence the direction of data science tooling and strategy
You demonstrate capacity for independent thinking and ability to make decisions based upon sound principles
You bring excellent strategic agility including problem-solving and critical thinking skills, and agility that extends beyond the technical domain
You demonstrate respect for cultural differences when interacting with colleagues in the global workplace
You have excellent verbal and written communication skills, specifically in the areas of presentation and writing, with the ability to explain complex technical concepts in clear language
Preferred
Experience architecting and maintaining scalable, modular data science tools or platforms used across multiple teams or functions
Familiarity with infrastructure and orchestration tools such as Docker, Kubernetes, Airflow, or cloud-native environments (e.g., AWS, GCP, Azure)
Strong track record of advancing automation, performance, or reproducibility within statistical or scientific computing workflows
Proven ability to influence internal standards, coding frameworks, or platform roadmaps across a matrixed organization
Awareness of regulatory and data integrity considerations in the development of software tools used in clinical or translational research
Experience leading codebase refactoring, modernization, or integration of emerging technologies into production systems
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
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, Global MSAT Drug Substance Biologics Technology and Commercial Products Support
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