Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.

The Position

2025 Summer Intern - Compensation & Data Excellence

We advance science so that we all have more time with the people we love.

Department Summary

Passionate about unraveling complex challenges and uncovering valuable business insights through the power of data? Join our Data Science team within the Compensation and Data Excellence Department, where we are dedicated to delivering data-centric solutions and insights to our commercial business partners.

This internship position is located in Indianapolis, Indiana - On site

The Opportunity

• Contribute to the advancement of high-priority data science initiatives
• Conduct data analysis, distilling and communicating key findings to stakeholders
• Play a key role in crafting and enhancing analytics and reporting solutions
• Collaborate on strategic data-driven projects with a focus on impact and efficiency

Program Highlights

• Intensive 12-weeks 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.
• Work with some of the most talented people in the biotechnology industry.

Who You Are (Required)

Required Education

You meet one of the following criteria:

• Must be pursuing a Bachelor's Degree (enrolled student)
• Must have attained a Bachelor's Degree (not currently enrolled in a graduate program)
• Must be pursuing a Master's Degree (enrolled student)

Required majors: Data Science, Computer Science, Mathematics, Economics, or similar field of study with a quantitative component.

Preferred Knowledge, Skills, and Qualifications

• Excellent communication, collaboration, and interpersonal skills.
• Complements our culture and the standards that guide our daily behavior & decisions: Integrity, Courage, and Passion.
• Familiarity with Large Language Models (LLMs) and their application. Hands-on experience applying these models to real world problems is a plus.
• Experience working with version control systems such as Git.
• Knowledge in any cloud platform (AWS, GCP, Azure), with a preference for AWS.)

Relocation benefits are not available for this job posting.

The expected salary range for this position based on the primary location of Indiana is $45-$50 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.

Who we are

At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

As a global leader in healthcare, Roche Diagnostics offers a broad portfolio of products, tools and services that help in the prevention, diagnosis and management of diseases like HPV, HIV, hepatitis and diabetes as well as other medical conditions, such as fertility and blood coagulation. These products and services are used by researchers, physicians, patients, hospitals and laboratories worldwide to help improve people's lives.

Roche is an equal opportunity employer and strictly prohibits unlawful discrimination based upon an individual’s race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, mental/physical disability, medical condition, marital status, veteran status, or any other characteristic protected by law.

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.