2027 Summer Intern - Product Development Data Sciences

1000 Genentech, Inc.; Boston (MA); On-site; USD 40,000 - 72,000; Full time

Benefits offered by this job

Stipend provided

Professional development curriculum

Final project presentations to senior

Job summary

Genentech's Product Development Data Sciences internship in Boston is a 12-week, full-time program for data scientists across global sites. It delivers data insights for cardiovascular, renal, and metabolism programs with real-world clinical data analysis, AI/ML exploration, and collaboration on impactful projects.

The role emphasizes coding in R, building reusable packages, and contributing to data pipelines, with an on-site Boston placement and a stipend to support costs.

Qualifications

• Bachelor's degree in Statistics, Biostatistics, Computer Science, Data Science, Mathematics, Computational Biology, Biotechnology, Psychometrics or related fields.
• Pursuing or completed Master’s degree within the last 2 years.
• Pursuing a PhD (enrolled student).
• Strong programming skills in R and data science methods.
• Familiarity with clinical trial statistics is a plus.

Responsibilities

• Statistical research: Solve statistical problems directly relevant to ongoing clinical drug development in cardiovascular, renal, and metabolism therapeutic areas.
• Data analytics: Analyze real-world clinical data to derive data-driven clinical impact and business insights.
• Programming: Develop or refactor code to create reusable R packages for data processing or visualization; develop automation solutions for data handling and analytics processes.
• Data engineering: Explore efficiencies in data flow from raw to analysis-ready data sets.
• Innovation: Drive proof of concept work to explore new software or programming languages for our work.
• Algorithm development: develop, refactor and evaluate models with multi-modal data including clinical data and medical images for drug development needs.
• AI research: Suggest and implement new ML/DL methodologies for data exploration and algorithm development.
• Clinical Outcome Assessments: Explore measurement problems related to PRO data.

Skills

R Programming

Data Science

Statistical Modeling

Data Analysis

Education

Bachelor's degree in Statistics/Biostatistics/CS/Data Science/Math/Computational Biology/ Biotechnology/Psychometrics or related fields

Master’s degree pursued or completed within last 2 years

PhD pursued (enrolled student)

Tools

Git

Job description

Summary

Product Development Data Sciences at Roche/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 Boston, on-site.

Opportunity

• Statistical research: Solve statistical problems directly relevant to ongoing clinical drug development in the cardiovascular, renal, and metabolism therapeutic area. 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.
• 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.
• Data engineering: Exploring efficiencies in data flow from raw to analysis-ready data sets.
• 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.

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 R Programming, Data Science, 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.

Salary and Benefits

The expected salary range for this position based on the primary location of Massachusetts is $29.00-$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-Boston

Equal Opportunity Employer

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.

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.