Campus - Clinical Data Scientist Intern

Organization Overview

At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters. Headquartered in Indianapolis, Indiana, our over 50,000 employees around the globe take on complex challenges to discover and deliver life-changing medicines, strengthen how health is understood and managed, and support the communities we serve.

This is hard, urgent, selfless work—but it’s work worth doing. If you’re driven by purpose and ready to bring your best to work that truly matters for patients, we invite you to join us.

Each intern will be assigned to a project giving them the opportunity to contribute to ongoing analytics initiatives or help lay the foundation for new initiatives within the Data and Analytics organization. The intern will gain exposure to how analytics impacts clinical research, developing enterprise level solutions, and solving large, complex problems facing Lilly. Interns will interact and work alongside other Clinical Data Sciences professionals, including Lilly senior management.

At the conclusion of the work period, each intern will present their project highlights, findings and general accomplishments to Clinical Data Sciences professionals. The role requires an in-depth understanding of programming, logic, data flow, and database architecture.

Project opportunities are available in the following areas:

• Cloud computing
• Machine Learning
• Process automation
• Database development
• Dashboard design and development

Lilly internships last for 12 continuous weeks, beginning in the last week of May. Each intern will be assigned a project affording the opportunity to learn more about data science and analytics within clinical research, as well as gain real world experience developing solutions for the Data and Analytics organization.

Responsibilities during the internship may include, not limited to:

• Develop an understanding of processes and procedures within the Data and Analytics business unit
• Drive real time analytics to enable full value realization of emerging data collection modalities
• Ensure system validation and reliability
• Develops and tests new ideas and/or applies innovative solutions that create value

As part of Lilly's commitment to innovation, interns will have the opportunity to build fluency with AI tools used across the business. We expect interns to approach these tools with curiosity, apply critical thinking to AI-assisted work, and always prioritize accuracy, confidentiality, and ethical standards in how they use them.

Currently enrolled in a Master’s program for Data Science, Analytics, Bioinformatics, Informatics, Mathematics, Statistics is or other relevant technical science with an expected graduation date of Dec. 2027 – May 2028. Qualified applicants must be authorized to work in the United States on a full-time basis. Lilly will not provide support for or sponsor work authorization or visas for this role, including but not limited to F-1 CPT, F-1 OPT, F-1 STEM OPT, J-1, H-1B, TN, O-1, E-3, H-1B1, or L-1.

• Proficient in R or Python programming
• Experience in implementing ML algorithms
• Proven ability to work creatively and analytically in a problem-solving environment
• Exposure to dashboard development in PowerBI or Tableau
• Demonstrated teamwork and collaboration on diverse teams
• Prior experience using AI tools (e.g., generative AI platforms, automation tools, or AI-assisted research/analytics tools) in an academic, project, or work setting.

All interns will be considered for full-time positions based on their internship performance. Lilly arranges various intern activities including sporting events, dinners, lunch and learns, volunteer activities etc. to provide opportunities for socializing, professional development, and learning more about Lilly.

• Interns will receive 1 week of paid time off during the Lilly summer shut-down (July 5th – July 9th)
• 1:1 mentoring from an experienced professional in the function
• Inter…