2027 Summer Intern - Biostatistics and Analytical Data Sciences
Genentech
Summary
Multiple opportunities available, with research interests in the following areas:
Job description
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.
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.
Requirements
- Bachelor's degree required
- Must be pursuing a Master's Degree (enrolled student), or have attained a Master's Degree within the last 2 years, or be pursuing a PhD (enrolled student)
- Required majors: Statistics, Biostatistics, Computer Science, Data Science, Mathematics, Computational Biology, Biotechnology, Psychometrics or related fields
- Data Science
- Statistical Modeling
- R Programming
- Data Analysis Experience
Benefits
- Paid internship
- Stipend
- Paid holiday time off
Company overview
Genentech, founded in 1976 and now a member of the Roche Group, is widely recognized as the pioneer of the biotechnology industry. The company has been at the forefront of scientific innovation for nearly 50 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. Genentech's transformational discoveries include the first targeted antibody for cancer and the first medicine for primary progressive multiple sclerosis. With over 10,000 employees, the company operates from its South San Francisco headquarters and maintains a strong focus on oncology, immunology, neuroscience, ophthalmology, and infectious diseases. Genentech continues to pursue groundbreaking science while maintaining its startup spirit within the Roche organization, consistently delivering on its promise to improve patients' lives through innovative biopharmaceutical solutions.