AI Solutions & Operations Intern

Indiana Biosciences Research Institute (IBRI)

Indianapolis (IN)

On-site

USD 32,000 - 39,000

Full time

7 days ago

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Job summary

Indiana Biosciences Research Institute (IBRI) invites students to join a 12-week AI-focused internship in Indianapolis, May 17, 2027 – August 6, 2027. The program combines project coordination, operations, research administration, and strategy, with a stipend of $9,650 for the full term.

You will collaborate with scientific and business teams to design and implement AI-enabled workflows using Claude and Microsoft Copilot, and you will help build governance, training, and reporting processes for

Qualifications

Enrolled in or recently graduated from an undergraduate or graduate program in information systems, computer science, data analytics, life sciences, business, or a related field.
Hands-on familiarity with AI tools such as Claude and Microsoft Copilot.
Interest in responsible AI, data privacy, and AI governance.
Ability to explain technical concepts clearly to non-technical audiences and comfort leading training sessions.
Strong analytical, organizational, and communication skills, with the ability to work independently and manage multiple priorities.
Commitment to the full duration of the internship.

Responsibilities

Partner with scientific and business teams to find workflows that could benefit from AI, then help design, build, test, and implement solutions using tools such as Claude and Microsoft Copilot.
Support integrations between AI tools and organizational systems, including laboratory informatics, collaboration, and business platforms, to streamline operations.
Help evaluate new AI tools and capabilities through structured testing, documentation of results, and recommendations to leadership.
Contribute to AI governance initiatives, including policy development, responsible use guidelines, compliance tracking, and data security standards.
Develop AI best practices, prompt libraries, user guides, and knowledge base articles for staff.
Design and deliver training such as workshops, office hours, and quick-start guides for staff with a wide range of technical backgrounds.
Track AI adoption and impact metrics and prepare reports and dashboards for leadership.