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2027 Summer Intern - Product Development Data Sciences

Genentech

Boston, MAFull-time$29–52/hrSeen todaySeen in employer's feed today

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At a glance

Compensation
$29–52/hr
Location
Boston, MA
Role Type
Internship
Schedule
Full-time
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Requirements

Credentials this posting asks for.

Bachelor's degree, required

Job overview

Genentech’s Product Development Data Sciences group offers a 12-week, full-time summer internship in Boston, on-site. Interns may work on statistical research, clinical data analytics, programming, data engineering, algorithm development, AI research, or clinical outcome assessments. The program includes paid project work, professional development, and final presentations to senior leadership. Candidates must meet the stated education and graduate-study eligibility criteria.

Skills & qualifications

RequiredNice to have

Skills

R Programming, requiredData Science, requiredStatistical Modeling, requiredData Analysis, requiredStatistical Methods, nice to haveClinical Trial Statistics, nice to haveSoftware Development Workflow, nice to haveGit, nice to haveCommunication, nice to haveTeamwork, nice to haveProblem Solving, nice to haveAI Agent Development, nice to haveAgentic Workflows, nice to haveLarge Language Models, nice to haveAutomated Data Processing, nice to have

Qualifications

Bachelor's Degree, requiredPursuing Master's or Recent Master's, requiredPursuing PhD, required

Full job description

The Position

2027 Summer Intern - Product Development Data Sciences

Department 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.

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 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.

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

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 (https://docs.google.com/forms/d/e/1FAIpQLSdZWlsbfQOvFVIQgHE\_iDzWUTlhZvj6FytIzjS7xq6IGh1H5g/viewform) .

How this job compares

Set against the 2,018 open Data Science jobs on Olive Jobs, counted November 12, 2026.

Pay
  • This posting$29–52/hr
  • US median$35–49/hr140 hourly ranges

This range's midpoint, $40.50/hr, is close to the US median midpoint ($40/hr) — in the middle half of Data Science hourly ranges across the US.

Openings
Olive Jobs lists 72 open Data Science jobs in Massachusetts and 2,018 across the US. 8% of them nationwide are listed as remote or flexible.
Hiring the most in Massachusetts
Experience
Data Science postings that state a minimum ask for 6 years of experience at the median; the middle half ask for 4 to 9 years (1,669 postings).
Education
This posting asks for a bachelor's degree; 771 of the 2,018 open Data Science jobs (38%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 12, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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