R&D for Science

Academic Year Undergraduate Intern In Ai R&D For Science

CAS uses intuitive technology, unparalleled scientific content, and unmatched human expertise to help companies create groundbreaking innovations that benefit the world. As the scientific information solutions division of the American Chemical Society, CAS manages the largest curated reservoir of scientific knowledge, and for over 117 years, has helped innovators mine, assess, and apply that information to keep businesses thriving. The CAS team is global, diverse, endlessly curious, and strives to make scientific insights accessible to innovators worldwide.

CAS is currently seeking an Academic Year Undergraduate Intern in AI R&D for Science. This is a 5–6-month placement for the 2026 fall (August–December) semester at our headquarters in Columbus, Ohio.

This internship is designed for undergraduate students in the chemical, biological, biomedical, physical, and materials sciences — or in computer engineering or data science — with an interest in applied research and development in AI for science. The Intern will work on a defined project — such as a modeling approach, data pipeline, or algorithm evaluation — running experiments and analyses under the mentorship of the CAS Data Analytics and Insights team, which provides regular feedback and guidance. It concludes with a technical findings report presented to the immediate team.

Job Accountabilities:

Support project work in a defined AI for science project area (e.g., a modeling approach, data pipeline, or algorithm evaluation)

Run experiments, benchmarks, or evaluations on models and datasets as directed

Assist with data preparation, cleaning, and analysis

Document findings and contribute to technical writeups

Present a technical findings report to the immediate team

Perform other duties as assigned

Qualifications:

Currently pursuing an undergraduate degree in a relevant discipline, such as chemistry, biology, biomedical science, physics, materials science, data science, computer science, engineering, or artificial intelligence

Interest in applied research and development in AI for science

Experience with Python or R, and SQL

Demonstrated analytical, multi-tasking, problem solving, and planning skills

Ability to interpret reports, analyze trends and provide insights

Strong written and verbal communication skills

Ability to work effectively in an open, agile environment as well as independently

Experience working with chemistry, life science, and/or materials science data preferred, but not required

Candidates for this position must be authorized to work in the United States and not require work authorization sponsorship by our company for this position now or in the future. EEO/Minority/Female/Disabled/Veteran

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.