Chemist Intern, Content Operations (Summer 2027)

Chemical Abstracts Service

Columbus (OH)

On-site

USD 21,000 - 30,000

Full time

3 days ago
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Job summary

Chemical Abstracts Service, a division of the American Chemical Society, seeks a Chemist Intern for Summer 2027 in our Columbus headquarters. The internship runs May 17, 2027 - August 6, 2027 and offers exposure to world-class scientists and hands-on learning in data processing of commercial chemical information.

You'll gain experience through training, collaboration, and cross-team networking, supporting process improvements and data structures work; candidates must be pursuing a scientific

Qualifications

  • Pursuing a degree in a scientific field (Chemistry, Chemical Engineering, or CS).
  • Completion of at least one collegiate level chemistry course is required.
  • Proficiency in Python is required.
  • Strong problem-solving and critical-thinking skills.
  • Strong communication, teaming and leadership abilities.
  • Ability to work effectively in a fast-paced, collaborative environment.

Responsibilities

  • Complete an initial training assignment to learn data structures of commercial chemical information at CAS.
  • Collaborate to develop and deliver process improvements for processing submitted data.
  • Connect across the organization through the Summer Intern Program to build working relationships.

Skills

Strong problem-solving skills
Strong communication skills
Leadership skills
Teamwork skills
Critical thinking

Education

Pursuing a degree in a scientific field (Chemistry / Chemical Engineering / CS)
Completion of at least one collegiate level chemistry course

Tools

Python

Job description

Chemical Abstracts Service, a division of the American Chemical Society, seeks a Chemist Intern for Summer 2027 in our Columbus headquarters. The internship runs May 17, 2027 - August 6, 2027 and offers exposure to world-class scientists and hands-on learning in data processing of commercial chemical information.

You'll gain experience through training, collaboration, and cross-team networking, supporting process improvements and data structures work; candidates must be pursuing a scientific

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