2026 Spring Intern - Data and Statistical Sciences (6 months)

Department Summary

Product Development Data Sciences is a group of over 1,000 data scientists across five 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 on-site in South San Francisco.

The Opportunity

• Statistical research: Helping solve statistical problems directly relevant to ongoing clinical drug development in diverse therapeutic areas such as oncology, immunology, ophthalmology, neuroscience, cardiovascular, nephrology, and metabolism. The 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

• 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

• Data engineering: Exploring efficiencies in data flow from raw to analysis-ready data sets

• Machine learning research: Suggesting and implementing new methodologies in machine learning for data exploration to enable scientific reverse translation

• Innovation: Driving proof of concept work to explore the usage of new software or programming language in a component of our work

Program highlights

• 6-months, full-time (40 hours per week) paid internship with a stipend to alleviate costs.

• Opportunity to extend internship up to 12 months.

• 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 leaders

• Participate in volunteer projects, social events, and team-building activities

Who You Are

Required Education

You meet one of the following criteria:

• Must be pursuing a Master's degree (currently enrolled).

• Must have attained a Master's degree no more than 2 years ago.

• Must be pursuing a PhD (currently enrolled).

Required Majors

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

Required Skills

R Programming, Data Science, Statistical Modeling, Clinical Data 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.

Relocation benefits are not available for this job posting.

The expected hourly range for this position based on the primary location of California is $50.00 per 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.