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

1000 Genentech, Inc.; South San Francisco (CA); On-site; USD 47,000 - 72,000; Full time

Benefits offered by this job

Stipend

Professional development

Final presentations

Team events

Job summary

Genentech, a Roche company, offers a 12-week Summer Intern in Digital, AI, and Clinical Outcome Assessments. The on-site internship is in South San Francisco and centers on multi-modal data, AI methods, and clinical data analysis.

You will work with top data scientists and clinicians, develop and evaluate models, contribute to data pipelines, and present results to senior leadership. May/June start, 40 hours/week, with a location-based stipend and professional development activities.

Qualifications

• Bachelor’s degree in a related field is required.
• Pursuing or recent completion of Master’s or PhD preferred.
• Strong programming in R; experience with software development workflows.
• Excellent communication and teamwork.
• Experience evaluating and deploying AI agents and data pipelines.

Responsibilities

• Develop and evaluate multi-modal AI and machine learning models.
• Collaborate with data scientists and clinicians to apply data insights.
• Contribute to data processing pipelines and software tools.
• Present findings and project results to leadership.

Skills

Algorithm development

Data Science

R or Python Programming

Statistical Modeling

Data Analysis

Education

Bachelor's degree

Tools

Git

Job description

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.

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.

#PDD-SSF

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.

Who We Are

Genentech, a member of the Roche group and founder of the biotechnology industry, is dedicated to pursuing groundbreaking science to discover and develop medicines for people with serious and life-threatening diseases. To solve the world's most complex health challenges, we ask bigger questions that challenge our industry and the boundaries of science to transform society. Our transformational discoveries include the first targeted antibody for cancer and the first medicine for primary progressive multiple sclerosis. The next step is yours.