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2027 Summer Intern - Product Development Data Sciences

Roche

Boston, MAOnsitePosted 1 day ago$29.00 - $52.00/hour
InternshipInternBioinformatics & Data SciencePharmaceutical
Original posting ↗

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.

Job description

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.

Requirements

  • Bachelor's degree required
  • Must be pursuing a Master's Degree (enrolled student), or have attained a Master's Degree within the last 2 years, or be pursuing a PhD (enrolled student)
  • Major in Statistics, Biostatistics, Computer Science, Data Science, Mathematics, Computational Biology, Biotechnology, Psychometrics or related field
  • R Programming experience
  • Data Science experience
  • Statistical Modeling experience
  • Data Analysis experience

Benefits

  • Paid internship
  • Stipend
  • Paid holiday time off

Company overview

Roche is a Swiss multinational healthcare company and a global pioneer in pharmaceuticals and diagnostics, founded in 1896 and headquartered in Basel, Switzerland. As the world's largest biotech company and the fifth-largest pharmaceutical company by revenue, Roche operates through two primary divisions: Pharmaceuticals and Diagnostics. The company is renowned for its leadership in personalized healthcare, combining strengths in both drug development and diagnostic testing to deliver tailored treatments for patients. Roche maintains a strong focus on oncology, immunology, infectious diseases, ophthalmology, and central nervous system disorders, with a portfolio that includes over 30 medicines on the World Health Organization's Model Lists of Essential Medicines. The company owns significant subsidiaries including Genentech, Chugai Pharmaceuticals, Ventana Medical Systems, and Foundation Medicine. With approximately 103,000 employees worldwide and operations in over 100 countries, Roche has established itself as a leader in cancer treatments globally while maintaining a robust pipeline of innovative therapies and diagnostic solutions. The company's commitment to sustainability has been recognized through ten consecutive years as Group Leader in the Dow Jones Sustainability Indices within the Pharmaceuticals, Biotechnology & Life Sciences Industry.

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