About this role
The Position
2026 Summer Intern - Biostatistics, Product Development Data Sciences
Department Summary
Product Development Data Sciences is a group of more than 1,000 data scientists across 5 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
Statistical research: Applied problems with direct relevance to ongoing clinical drug development in neuroscience. The specific topics may include but are not limited to research problems in late-stage clinical trials.
Investigation of methodology: Exploring methods such as Rothman criteria (Rothmann et al. 2012), Bucher analyses (Bucher et al. 1997), and potentially others to assess the strength of evidence in sub-populations of a clinical trial.
Program Highlights
Intensive 12-weeks (with the possibility of extension up to a total of 6 months), 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
Must be pursuing a PhD (enrolled student).
Required Majors: Statistics, Biostatistics, Mathematics, or related field.
Required Skills:
Intermediate or higher programming ability in R; familiarity with R Shiny a plus.
Experienced problem solver capable of seeking help when needed.
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.
Excellent communicator and team player; comfortable explaining complex topics to non-technical audiences.
Passion for learning and curious about the pharmaceutical biotechnology industry.
Familiarity with time-to event analyses and/or clinical data a plus.
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.
Other facts
About Genentech
About Genentech
We're passionate about finding solutions for people facing the world's most difficult-to-treat conditions. That is why we use cutting-edge science to create and deliver innovative medicines around the globe. To us, science is personal.
Making a difference in the lives of millions starts when you make a change in yours. If you’d like to join our team, view our openings at gene.com/careers.
Our patient resource center is dedicated to getting patients and caregivers to the right resources. You can reach them at 1 (877) GENENTECH (436-3683)
Monday-Friday, 6am-5pm PST or [email protected].
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What you'll do
- The intern will engage in statistical research relevant to clinical drug development in neuroscience and investigate methodologies to assess evidence strength in clinical trials. They will work on challenging and impactful projects within the biotechnology industry.
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