Genentech · 5 hours ago
Senior DSX Data Scientist
San Francisco, CA
Full-time
Onsite
Mid, Senior Level
$154K/yr - $286K/yr
3+ years expGenentech is a leading biotechnology company focused on innovating healthcare solutions. The Senior DSX Data Scientist role involves developing scalable tools and workflows for efficient statistical computing in Product Development Data Sciences, collaborating with cross-functional teams to support data-driven decision-making in clinical development.
BiotechnologyLife ScienceManufacturing
Responsibilities
You design, develop, and maintain robust statistical computing tools and platforms that support scalable, high-quality analytics across Product Development Data Sciences (PDD)
You lead the development of reusable code modules, macro libraries, and workflow automation components that accelerate statistical programming and insight generation
You serve as a key technical partner to statistical programmers, biostatisticians, and clinical scientists, translating scientific and operational needs into scalable, user-centered solutions
You contribute to architectural decisions, codebase design patterns, and infrastructure improvements to enhance reproducibility, performance, and maintainability
You lead or contribute to moderate-sized DSX projects, coordinating deliverables and ensuring alignment with broader development timelines and regulatory priorities
You act as a functional mentor and technical resource to junior team members, fostering best practices in code development, testing, and documentation
You collaborate cross-functionally to expand data visualization, workflow orchestration, and computing capabilities that enable faster, more flexible evidence generation
You integrate feedback from internal users and stakeholders to iterate and improve DSX platforms, balancing innovation with reliability and compliance
Qualification
Required
You hold a Master's degree or PhD in Computer Science, Data Science, Statistics, Bioinformatics, Engineering, or a related quantitative field
You have a minimum of 3 years of experience in data science, statistical computing, or software engineering, preferably within a life sciences, healthcare, or regulated environment
You have a proven ability to independently develop, optimize, and scale data science tools or platforms in support of clinical or scientific workflows
You are proficient in programming languages such as R or Python, with hands-on experience in version control (e.g., Git), testing frameworks, and workflow orchestration tools
You have a strong understanding of data pipelines, analytical workflows, and computational environments that support regulatory and exploratory analysis
You have experience collaborating with cross-functional teams, translating user needs into scalable technical solutions, and iterating based on stakeholder feedback
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 designing and maintaining data science tools, packages, or platforms used by multiple teams across an organization
Familiarity with enterprise-level statistical computing environments, containerized workflows (e.g., Docker, Kubernetes), or cloud-based infrastructure
Demonstrated ability to contribute to or lead cross-functional initiatives involving data science, programming, and systems engineering
Deep understanding of software development best practices (e.g., CI/CD, modularization, dependency management) in scientific programming contexts
Experience implementing automation, reproducibility, or performance optimization within clinical or exploratory data workflows
Ability to synthesize user requirements from scientists, programmers, and clinical teams into well-scoped, technical specifications
Strong awareness of the evolving data science landscape in healthcare or pharma, including tools, standards, and innovation trends
Previous contributions to internal knowledge-sharing, training, or code reuse efforts across departments or teams
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.
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
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2026-01-21
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