2027 Summer Intern - Digital, AI, and Clinical Outcome Assessments

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.

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

Computer Science, Electrical Engineering, Bio/Biomedical Engineering, Mathematics, Computational Biology, Biotechnology, Psychometrics, Statistics, Biostatistics, Data Science, or related fields.

Required Skills

Algorithm development, Data Science, R or Python Programming, Statistical Modeling, 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.

Relocation benefits are not available for this job posting.

The expected salary range for this position based on the primary location of California is $34.00-$52.00 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.

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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.

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