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How much do chemical abstracts jobs pay per hour?

As of May 28, 2026, the average hourly pay for chemical abstracts in the United States is $20.45, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $23.08 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Chemical Abstracts Indexer, and why are they important?

To thrive as a Chemical Abstracts Indexer, you need a solid background in chemistry or a related scientific field, often supported by at least a bachelor's degree in chemistry. Familiarity with scientific databases, chemical nomenclature systems like IUPAC, and indexing software is typically required. Attention to detail, analytical thinking, and strong organizational skills help indexers accurately interpret and catalog scientific information. These abilities ensure the reliability and accessibility of chemical information for researchers and professionals worldwide.

What are the typical responsibilities of a professional working with Chemical Abstracts, and how does this role contribute to scientific research?

Professionals working with Chemical Abstracts are typically responsible for indexing, curating, and summarizing chemical information from scientific literature and patents. This role involves critically analyzing new research, ensuring data accuracy, and making complex chemical information accessible to researchers worldwide. By maintaining and updating chemical databases, these professionals support scientific discovery, innovation, and collaboration across academia and industry. Collaboration with scientists, librarians, and database developers is common to ensure the relevance and usability of the abstracted information.

What are Chemical Abstracts?

Chemical Abstracts is a comprehensive database that provides summaries and indexing for articles, patents, and other publications in the field of chemistry and related sciences. It is produced by the Chemical Abstracts Service (CAS), a division of the American Chemical Society. Researchers, chemists, and students use Chemical Abstracts to find information on chemical compounds, reactions, literature references, and related data. The database is widely recognized as a vital resource for chemical information and research.

What is the difference between Chemical Abstracts vs Chemical Information Specialist?

AspectChemical AbstractsChemical Information Specialist
CredentialsTypically requires a degree in chemistry or related field, often with indexing or abstracting experienceRequires a degree in chemistry, library science, or information management, with expertise in chemical data
Work EnvironmentResearch organizations, publishing companies, or chemical information servicesLibraries, information centers, or corporate R&D departments
Industry UsageUsed by chemists, researchers, and publishers for chemical literature indexingUsed by information professionals managing chemical data and resources
Search & Comparison IntentUnderstanding differences in chemical literature indexing and abstracting rolesClarifying roles in chemical information management and data curation

While Chemical Abstracts focuses on indexing and abstracting chemical literature, a Chemical Information Specialist manages and curates chemical data within information systems. Both roles require chemistry knowledge but differ in scope and work environment.

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What cities are hiring for Chemical Abstracts jobs? Cities with the most Chemical Abstracts job openings:
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Chemical Abstracts jobs near you
Infographic showing various Chemical Abstracts job openings in the United States as of May 2026, with employment types broken down into 18% Full Time, 76% Part Time, and 6% Temporary. Highlights an 100% Physical job distribution, with an average salary of $42,536 per year, or $20.4 per hour.

BN31P2-Data Scientist

Chemical Abstracts Service

Columbus, OH • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 21 days ago

Job description

Chemical Abstracts Service (CAS)
BN31P2- Data Scientist CAS Columbus, OH
CAS uses unparalleled scientific content, specialized technology and unmatched human expertise to help R&D organizations across Commercial, Government and Academic sectors 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 111 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 actionable scientific insights accessible to innovators worldwide.
CAS is currently seeking a Data Scientist. This position will be located in our headquarters in Columbus, Ohio.
Job Summary:
This is an individual contributor role on the Data Analytics and Insights (DAI) team, which carries a dual mandate: build production-grade agentic AI solutions that power CAS products, and lead the company in product innovation through emerging AI capabilities. You will develop and deliver agentic AI features across CAS's product suite, including SciFinder, BioFinder, and our cross-domain omni-agent platform, working alongside senior engineers, product managers, and scientific domain experts. This role emphasizes hands-on software development, agentic system design, and engineering quality. Success in this role requires strong programming fundamentals, a genuine interest in agentic AI, and a collaborative mindset oriented toward building reliable, production-grade systems. Because CAS's AI systems serve scientists and must be grounded in deep scientific content, candidates who combine strong software engineering skills with formal training in a scientific discipline relevant to CAS's customers (chemistry, life sciences, materials science, or related fields) bring a valuable perspective and will find real opportunities to apply both dimensions of their expertise.
Job Accountabilities:
  • Develop and deploy agent-based workflows, retrieval-augmented generation (RAG) pipelines, and LLM-powered features within CAS products using Python, LangGraph/LangChain, and related tools.
  • Deliver clean, tested, well-documented software following team engineering standards, including unit, integration, and end-to-end tests, containerized development, and CI/CD practices.
  • Work with product managers, scientific domain experts, and engineering teams to translate business and research requirements into working technical solutions.
  • Contribute to evaluation frameworks for GenAI systems, focusing on accuracy, reliability, and continuous improvement of agentic features.
  • Build and operate solutions on cloud infrastructure (AWS, Azure, GCP, or similar), supporting the production deployment and ongoing operations of AI systems.
  • Use agentic software development tools such as Claude Code as a core part of the daily workflow to accelerate delivery and maintain quality.
  • Contribute to DAI's product innovation mandate by prototyping and evaluating emerging AI capabilities for potential integration into CAS offerings.
  • Stay current with advances in generative AI and agentic architectures, and share knowledge with the team through demos, documentation, and internal learning sessions.

Qualifications:
  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related quantitative or scientific discipline, or equivalent practical experience.
  • 2+ years of professional experience in software engineering, applied machine learning, or data science, with demonstrated delivery of working systems.
  • Hands-on experience building applications with large language models, including agentic workflows, RAG, prompt engineering, or similar patterns.
  • Strong Python programming skills with solid software engineering fundamentals (version control, testing, code review, documentation).
  • Experience with or strong interest in agentic AI frameworks such as LangGraph, LangChain, or equivalent platforms.
  • Proficiency with agentic software development tools (e.g., Claude Code or similar AI-assisted development environments).
  • Experience deploying and operating software in at least one cloud environment (AWS, Azure, or GCP).
  • Strong written and verbal communication skills, with the ability to work effectively in cross-functional teams.

Desired, But Not Required:
  • Formal training or a graduate degree in a scientific discipline relevant to CAS's customer domains (chemistry, life sciences, materials science, or related fields), combined with strong software engineering skills. The ability to bridge scientific understanding and software development is one of the most valuable combinations a candidate can bring to this team, and candidates with this profile will be given strong consideration.
  • Graduate degree (M.S. or Ph.D.) in Computer Science, Engineering, Statistics, or a related field.
  • Experience with cloud AI/ML services and model hosting platforms.
  • Familiarity with containerized development workflows and API design.
  • Experience with evaluation frameworks for AI/ML systems, including accuracy, reliability, and cost optimization.

CAS offers a competitive salary and comprehensive benefits package, including a generous vacation plan, medical, dental, vision insurance plans, and employee savings and retirement plans. 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/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.

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