Genentech · 11 hours ago
DSX Data Scientist (On Site, Clinical Trial Data, CSRs)
South San Francisco, CA
Full-time
Onsite
Entry, Mid Level
$122K/yr - $200K/yr
2+ years expGenentech is a leading biotechnology company focused on developing innovative medicines. The Data Scientist in the Data Science Acceleration (DSX) team is responsible for developing scalable tools and workflows to enable efficient statistical computing and data analysis in clinical trials.
BiotechnologyLife ScienceManufacturing
Responsibilities
You contribute to the design, development, and maintenance of statistical computing environments and tools that enable efficient analysis of clinical and operational data
You develop and implement reusable code libraries, macros, and automation pipelines to support programming workflows across PDD
You collaborate with statisticians, programmers, and data scientists to translate user needs into robust, scalable technical solutions
You support exploratory analytics and data visualization capabilities that enhance insight generation and decision-making across development programs
You apply software engineering best practices, including version control, testing, and documentation, to ensure high-quality, reproducible code
You participate in the continuous improvement of DSX tools and infrastructure, incorporating feedback and emerging technologies
You support regular review of opportunities to simplify and innovate, and collaborate with experts in PDD and beyond to accelerate and deliver patient benefits faster
You work under general supervision and apply independent judgment to interpret guidance, prioritize responsibilities, and make decisions in situations that require contextual understanding
You apply judgment to address moderately complex statistical or data issues, balancing scientific rigor with appropriate flexibility, and seek guidance when facing novel or ambiguous situations
You adhere to functional standards by participating in peer review and mentoring relationships to uphold quality and build methodological and programming expertise
Qualification
Required
You hold a Master's degree or PhD in Computer Science, Data Science, Statistics, Bioinformatics, Engineering, or a related quantitative discipline
You have 2+ years of hands-on experience in data science, statistical computing, software engineering, or a related field, preferably in a life sciences or healthcare setting (internship and academic experience will be considered)
You are proficient in programming languages commonly used in statistical computing (e.g., R, Python) and are familiar with development tools such as Git, Docker, or workflow automation tools
You understand clinical trial data structures, statistical analysis concepts, or biomedical data (e.g., omics, real-world data, operational data)
You demonstrate ability to build, test, and maintain reproducible, well-documented code
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 working with diverse data modalities (e.g., clinical, operational, real-world, omics) and applying analytical strategies to uncover patterns or insights
Familiarity with statistical computing workflows in regulated environments, including clinical trial data structures and lifecycle
Demonstrated interest in data engineering best practices (e.g., reproducibility, code modularity, testability, documentation)
Ability to follow and contribute to collaborative development processes, including code reviews, version control, and continuous integration
Experience contributing to the development or extension of statistical platforms, macro libraries, or reusable toolkits
Strong communication and collaboration skills, with the ability to translate user needs into technical requirements and explain complex solutions in accessible terms
Exposure to automation, workflow orchestration tools (e.g., Airflow, Nextflow), or containerization (e.g., Docker, Kubernetes) is a plus
Experience working in multi-disciplinary or matrixed R&D teams, preferably within a global pharmaceutical or biotech organization
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
Recent News
Labiotech UG
2026-01-17
2026-01-16
Company data provided by crunchbase