SC32P3 Information Scientist

CAS•Columbus, OH

3d•Onsite

About The Position

CAS is seeking a technically strong Information Scientist to join its Content Operations team at the Columbus, Ohio headquarters. The role advances computational chemistry initiatives by combining scientific expertise with software development to improve chemical information processing and molecular modeling. It involves using AI-assisted tools in scientific workflows and collaborating with scientists and developers to create scalable solutions and strengthen chemistry domain capabilities.

Requirements

PhD or Master’s degree in Chemistry, Computational Chemistry, or a related field; candidates with another four-year degree and exceptional experience may be considered.
At least 5 years of experience in computational chemistry or scientific software engineering.
Strong programming skills in Java, Python, and JavaScript.
Familiarity with cheminformatics libraries such as RDKit and Open Babel.
Comfort using AI tools, such as LLM-based assistants and structure recognition tools, to support scientific and curation work.
Deep understanding of stereochemistry, coordination chemistry, and molecular modeling.
Experience with connection table algorithms and chemical structure processing through development or research work.
Ability to collaborate effectively across scientific and technical teams.
Strong communication, analytical reasoning, and problem-solving skills.
Must be authorized to work in the United States and must not require work authorization sponsorship now or in the future.

Nice To Haves

Experience evaluating or validating AI-generated outputs, such as structure recognition or reaction extraction, against scientific ground truth.
Curiosity about how AI tools are reshaping chemistry workflows and a track record of adopting new tools effectively.

Responsibilities

Apply computational chemistry techniques to model stereochemistry, coordination chemistry, and molecular interactions.
Design and implement reusable frameworks for chemical data processing, search, and visualization.
Use AI-assisted tools and approaches for chemical structure recognition, reaction analysis, and related curation workflows.
Monitor emerging AI capabilities relevant to chemistry and assess their suitability and accuracy for scientific applications.
Collaborate with product owners, subject matter experts, and developers to groom backlogs and deliver solutions in Agile environments.
Contribute to scientific rigor, collaboration, and continuous learning across the team.