2027 Summer Intern - Product Development Data Sciences

Posted Yesterday
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Boston, MA, USA
In-Office
29-52 Hourly
Internship
Healthtech • Biotech
The Role
Paid, on-site summer internship supporting pharmaceutical product development through statistical research, clinical data analysis, R programming, data engineering, algorithm development, AI research, and clinical outcome assessment. Interns will work on business-critical projects involving clinical trials, real-world data, medical images, machine learning, and reusable analytics tools while presenting findings to senior leadership.
Summary Generated by Built In

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.

Skills Required

  • Bachelor's degree
  • Pursuing a Master's degree as an enrolled student, or attained a Master's degree within the last two years, or pursuing a PhD as an enrolled student
  • Major in Statistics, Biostatistics, Computer Science, Data Science, Mathematics, Computational Biology, Biotechnology, Psychometrics, or a related field
  • Experience with R programming
  • Data science experience
  • Statistical modeling experience
  • Data analysis experience
  • Fundamental training in statistical and data science methods
  • Familiarity with clinical trial statistical knowledge
  • Software development workflow experience, including versioning and code collaboration with Git
  • Strong communication and teamwork skills
  • Experience evaluating, developing, and deploying AI agents and agentic workflows

Genentech Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Genentech and has not been reviewed or approved by Genentech.

  • Healthcare Strength — Health coverage is described as comprehensive across medical, dental, vision, mental health, and prescriptions, supported by HSAs/FSAs and broad wellness resources. On‑site fitness and health centers, mental‑health clinicians, and specialized programs like fully covered preventive cancer screenings and menopause support deepen the offering.
  • Retirement Support — Retirement benefits feature a 401(k) with up to a 4% company match plus an additional annual 6% company contribution to eligible pay. Additional financial protections such as life and accident insurance complement salary, bonuses, and stock options.
  • Leave & Time Off Breadth — Time away includes about 20 paid vacation days, paid holidays, personal days, and a year‑end shutdown. A paid six‑week sabbatical every six years notably expands long‑term time‑off flexibility.

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The Company
HQ: South San Francisco, CA
20,069 Employees
Year Founded: 1976

What We Do

Considered the founder of the industry, Genentech, now a member of the Roche Group, has been delivering on the promise of biotechnology for more than 40 years. Genentech is a biotechnology company dedicated to pursuing groundbreaking science to discover and develop medicines for people with serious and life-threatening diseases. Our transformational discoveries include the first targeted antibody for cancer and the first medicine for primary progressive multiple sclerosis. We're passionate about finding solutions for people facing the world's most difficult-to-treat conditions. That is why we use cutting-edge science to create and deliver innovative medicines around the globe. To us, science is personal. Making a difference in the lives of millions starts when you make a change in yours.

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