This position is a 12-week paid internship located in Bloomington, Indiana. It is offered for a period extending from mid-May through mid-August (exact dates depend on school calendars.) This position includes 401(k) options, an assigned mentor, capstone presentation, and intern events. If working onsite, you will also have access to a fitness center, an onsite cafeteria option, and a one-time housing stipend. All internships provide hands-on experience with meaningful projects in the Medical Device Manufacturing Industry.
As a Statistics and Data Science Intern, you'll be diving deep into the heart of medical manufacturing, ensuring the efficacy and reliability of our products. You’ll be a part of our statistics and data science team, working on high-level inference and drawing powerful conclusions that will shape the future of medicine.
Key Responsibilities:
1. Manufacturing Statistics: Evaluate manufacturing processes, identify areas of improvement, and assist in implementing statistical methods to increase quality and efficiency.
2. Advanced Inference: Work with cutting-edge statistical techniques to derive insights from complex data sets, directly impacting medical research and development.
3. Collaboration: Partner with a diverse team of experts across multiple functions, including engineering, production, and R&D.
4. Data Visualization: Create compelling visual presentations to convey statistical findings to both technical and non-technical stakeholders.
• All candidates should have an interest in a career in the Life Sciences field, a willingness to take initiative, and an ability to work well with others
• Passion for statistics and data analysis
• Basic understanding of statistical tools and techniques; preferred minimum of 2 statistics courses
• Strong communication skills and ability to present complex data simply
• Focus area of study in Statistics, Mathematics, Engineering or related field
• Candidates should be students entering their Junior or Senior year the following fall semester or entering graduate school; candidates who graduate the spring semester before this internship are also eligible
• A minimum GPA of 3.0 is preferred
• All candidates must provide proof of enrollment (including pre-registration certification for the following fall) for consideration
• Multiple disciplines will be considered (e.g., Marketing, Life Sciences, General Business, and Management)
If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.
Lead a cleared-capable data science team to design and deliver statistical analytics, data integration, and visualization solutions for high-priority federal programs at AMERICAN SYSTEMS.
Lead a technical Protection Science Engineering team in San Francisco to design, launch, and scale abuse detection, monitoring, and enforcement systems for OpenAI products.
Lead the design and implementation of Exa's ML evaluation stack to define how we measure and improve search quality across large-scale models and datasets.
Lead Ramp’s growth analytics to design attribution models, run rigorous experiments, and co-own multi-million-dollar brand marketing allocation decisions.
A Full Stack Data Scientist role focused on end-to-end model development and production deployment to drive AI features for social impact in a remote, product-oriented environment.
Seek a Senior Data Scientist to develop and scale repayment-risk models and monitoring for Plaid’s Earned Wage Access product, turning transaction and balance data into actionable risk signals and partner impact.
Truist is looking for a Data Scientist II in Atlanta to design, build, and deploy advanced analytics and machine learning solutions that drive business strategy and risk management.
Visa is hiring a Machine Learning Engineer Intern to build and deploy production ML pipelines and monitoring tools as part of its AI/ML Products & Platforms team for Summer 2026.
Lead the research and development of ML-, control- and signal-processing-based algorithms for diabetes therapy at Medtronic’s Diabetes unit, working from concept through validation and regulatory submission.
A 12-week summer Data Science internship on Coinbase's Strategy, Execution & Analytics team to support product analytics, experimentation, and scalable data tooling.
Senior Machine Learning Engineer needed to build and deploy production ML systems that improve logistics and scale Canals' platform across North and South America.
A U.S.-based partner company is hiring a Summer 2026 AI/ML intern to develop and test machine learning solutions using Python, JavaScript, and C++ while gaining mentorship and practical industry experience.
Build and deploy computer-vision and predictive ML models for Android-based healthcare IoT devices in a fully remote, mission-driven engineering team.