2026 Summer Intern - Data Science Acceleration at Genentech

Daly City, California, United States -

Full Time

Start Date

Immediate

Expiry Date

24 Apr, 26

Salary

50.0

Posted On

24 Jan, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Statistical Analysis, Programming, Data Visualization, Automation, Collaboration, Communication, Statistical Computing, Clinical Trial Data, AI Development, Git, Docker, Workflow Automation, Biomedical Data, Omics, Real-World Data, Operational Data

Industry

Biotechnology Research

Description

The Position 2026 Summer Intern - Data Science Acceleration Department Summary 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. This internship position is located in South San Francisco, on-site. 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. The selected intern will: Develop experience in statistical analysis of clinical trial data. Develop AI agents to address specific business problems. Learn about the role of data sciences in drug development. Program Highlights Intensive 12-weeks (with possibility for extension), full-time (40 hours per week) paid internship. Program start dates are in May/June 2026. A stipend, based on location, will be provided to help alleviate costs associated with the internship. Ownership of challenging and impactful business-critical projects. Work with some of the most talented people in the biotechnology industry. Who You Are (Required) Required Education You meet one of the following criteria: Must be pursuing a Master's Degree (enrolled student). Must have attained a Master's Degree. Must be pursuing a PhD (enrolled student). Must have attained a PhD. Required Majors: Computer Science, Data Science, Statistics, BioInformatics, Engineering or a related quantitative discipline. Required Skills: 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. Solid understanding of clinical trial data structures, statistical analysis concepts, or biomedical data (e.g., omics, real-world data, operational data). Preferred Knowledge, Skills, and Qualifications Excellent communication, collaboration, and interpersonal skills. Complements our culture and the standards that guide our daily behavior & decisions: Integrity, Courage, and Passion. Relocation benefits are not available for this job posting. The expected salary range for this position based on the primary location of California is $50.00 hour. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. This position also qualifies for paid holiday time off benefits. 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.

Responsibilities

The Data Scientist in the Data Science Acceleration team is responsible for developing scalable tools and workflows for efficient statistical computing. This role involves translating scientific needs into user-friendly solutions that support decision-making in drug development.