The Position
A healthier future. It's what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That's what makes us Roche.
This role is in Analytical Data Science, a core function within Product Development Data Sciences (PDD) that provides strategic leadership and scientific rigor across Development at Roche. PDD Analytical Data Science teams are mobilized across the portfolio to generate data-driven insights, identify opportunities for scale, and implement impactful solutions.
PDD Analytical Data Science is recognized as a leading hub for top industry talent, operating as an agile workforce to deliver regulatory commitments across the portfolio. We identify, influence, and adopt industry-leading digital and automation solutions, develop analytical approaches to support exploratory analyses, and align statistical programming practices across both early- and late-stage clinical development.
The Opportunity
The Data Scientist in the Data Science Acceleration (DSX) team is responsible for developing scalable tools, environments, and workflows that enable efficient, high-quality statistical computing across Product Development Data Sciences (PDD). This role focuses on creating and maintaining next-generation capabilities that support automation of programming workflows, generation of reusable coding macros, and advanced data visualization. Working closely with statistical programmers, biostatisticians, and clinical scientists, the Data Scientist translates scientific and operational needs into robust, modular, and user-friendly solutions that streamline evidence generation and support faster, more reliable decision-making across the development pipeline.
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
Who you are:
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 Qualifications:
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
PDDT
PDDSSF
Relocation benefits are not available for this posting
The expected salary range for this position based on the primary location of South San Francisco, CA is $153,900 - $285,900.00. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. 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.
Benefits (https://roche.ehr.com/default.ashx?CLASSNAME=splash)
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants (https://docs.google.com/forms/d/e/1FAIpQLSdZWlsbfQOvFVIQgHE_iDzWUTlhZvj6FytIzjS7xq6IGh1H5g/viewform) .
