2027 Summer Intern - Biostatistics and Analytical Data Sciences

Department Summary

Product Development Data Sciences at Genentech is a group of over 1000 data scientists across multiple global sites. We deliver data and insights about our medicine with excellence and passion. Our mission is to unlock the full potential of data to accelerate innovative healthcare solutions for patients and society.

This internship position is located in South San Francisco, on-site.

The Opportunity

Multiple opportunities available, with research interests in the following areas:

• Statistical research: Solve statistical problems directly relevant to ongoing clinical drug development in diverse therapeutic areas such as oncology, immunology, ophthalmology, neuroscience, cardiovascular, renal, and metabolism. Specific topics may include but are not limited to research problems from early to late-stage clinical trials and post-marketing evaluations.
• Data analytics: Analyze real-world clinical data to derive data-driven clinical impact and business insights.
• Data engineering: Exploring efficiencies in data flow from raw to analysis-ready data sets.
• Programming: Developing or refactoring code to create reusable R packages for data processing or visualization; developing innovative automation solutions for data handling and analytics processes.

Program Highlights

• Intensive 12-week, full-time (40 hours per week) paid internship.
• Program start dates are in May/June (Summer).
• A stipend, based on location, will be provided to help alleviate costs associated with the internship.
• Ownership of challenging and impactful business-critical projects.
• Professional & personal development curriculum throughout the program, including networking opportunities, workshops, and panel discussions.
• Work with some of the most talented people in the pharmaceutical industry.
• Final presentations of project work to senior leadership.
• Participate in volunteer projects, social events, and team-building activities.

Who You Are

Required Education

• Bachelor's degree (required).

Must also meet at least one of the following:

• Must be pursuing a Master's Degree (enrolled student).
• Must have attained a Master's Degree within the last 2 years.
• Must be pursuing a PhD (enrolled student).

Required Majors

Statistics, Biostatistics, Computer Science, Data Science, Mathematics, Computational Biology, Biotechnology, Psychometrics or related fields.

Required Skills

Data Science, Statistical Modeling, R Programming, Data Analysis Experience.

Preferred Knowledge, Skills, and Qualifications

• Fundamental training in statistical and data science methods; familiarity with clinical trial statistical knowledge is a plus
• Strong programming skills, particularly in R; experience with software development workflow, including versioning and code collaboration with Git
• Excellent communicator and team player; comfortable explaining complex technical topics to non-technical audiences
• Experienced problem solver capable of seeking help when needed
• Passion for learning and curious about drug development in the pharmaceutical biotechnology industry
• Hands-on experience in evaluating, developing, and deploying AI agents and agentic workflows (e.g., leveraging LLMs and automated data processing tools) to enhance and streamline analytical and software pipelines.