2027 Summer Intern - Digital, AI, and Clinical Outcome Assessments
Genentech
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.
Job description
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 are available, with research interests in the following areas:
- Innovation: Driving proof of concept work to explore the usage of new software or programming language in a component of our work.
- Algorithm development: develop, refactor and evaluate models with multi-modal data including clinical data and medical images. The algorithms serve direct relevance to ongoing clinical drug development needs in diverse therapeutic areas such as oncology, immunology, ophthalmology, neuroscience, cardiovascular, renal, and metabolism.
- AI research: Suggesting and implementing new methodologies in machine learning and deep learning for data exploration and algorithm development.
- Clinical Outcome Assessments: Explore measurement problems related to the development, analysis, and display of Patient-Reported Outcome data.
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.
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: Computer Science, Electrical Engineering, Bio/Biomedical Engineering, Mathematics, Computational Biology, Biotechnology, Psychometrics, Statistics, Biostatistics, Data Science, or related fields
- Algorithm development
- Data Science
- R or Python programming
- Statistical modeling
- Data analysis experience
- Fundamental training in statistical and data science methods
- Strong programming skills, particularly in R
- Experience with software development workflow including versioning and code collaboration with Git
- Excellent communicator and team player
- Experienced problem solver
- Hands-on experience evaluating, developing, and deploying AI agents and agentic workflows (e.g., LLMs, automated data processing tools)
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.