SC32P3- Information Scientist- Bioinformatician

CAS; Columbus (OH); Hybrid; USD 110,000 - 150,000; Full time

Benefits offered by this job

Vacation plan

Medical insurance

Dental insurance

Vision insurance

Retirement plan

Employee savings plan

Job summary

CAS in Columbus, OH is seeking a Bioinformatician to join the Life Sciences data team. You will analyze, curate, and harmonize complex biological datasets and apply AI/LLM-based approaches to automate repetitive tasks.

Work with scientists and data stewards to turn data into reliable, well‑structured content, develop scalable analytics, create reports, and help advance CAS’s scientific information solutions.

Qualifications

• Advanced degree in data science, life sciences, or related field preferred.
• Experience analyzing large biological datasets and interpreting results.
• Familiarity with public biological databases and ontologies (e.g., UniProt, ChEMBL, Gene Ontology).
• Proficiency in SQL and Python or R for data analysis.
• Experience evaluating machine learning models and data modeling.
• Strong communication and collaboration skills.

Responsibilities

• Analyze and validate life sciences datasets; identify errors and gaps.
• Harmonize data using controlled vocabularies and ontologies.
• Query, extract, clean, and transform data to support curation and reporting.
• Integrate data from internal and external sources and perform QC.
• Apply AI/LLM-based approaches to automate tasks and improve workflows.
• Create reports, summaries, and visualizations for stakeholders.
• Collaborate with scientists and data stewards to translate needs into solutions.
• Document processes and data standards.

Skills

Data analysis

Life sciences

Statistical methods

AI/LLM applications

Data harmonization

Collaboration

Problem-solving

Independent work

Education

Advanced degree in data science or life sciences

PhD preferred in Biological Sciences or Bioinformatics

Bachelor's or Master's considered with experience

Tools

SQL

Python

R

NoSQL (MarkLogic)

XML/JSON

Job description

Job Category: Scientific Content

Requisition Number: SC32P002154

• Posted : October 26, 2026
• Full-Time
• Hybrid

Locations

Showing 1 location

CAS
Columbus, OH 43202, USA

Description

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 119 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 a Bioinformatician. This position will be located in our headquarters in Columbus, Ohio.

Job Summary:

We are seeking a highly motivated and experienced Bioinformatician in the field of Life Sciences to join our cross‑functional team, supporting and enhancing the CAS Life Sciences data collection.A strong background in data analysis, data engineering skills, and frontier AI models is highly desired. As a member of our team, you will be working closely with scientists, data stewards, and technical teams to improve data quality by editing, changing, extracting, validating and transforming scientific data to turn complex information into reliable, well‑structured content. You will also leverage data analysis skills to measure and report on progress, develop scalable analytical approaches, participate in unit‑level projects, and support the development of related information databases. Additional responsibilities may include analyzing, curating, and harmonizing relevant life sciences content, providing curation guidelines, and identifying and implementing process improvements.

Job Accountabilities:

• Analyze and validate, and audit life sciences datasets to identify errors, inconsistencies, duplicates, and gaps, and perform bulk corrections as needed
• Harmonize and standardize data using controlled vocabularies, ontologies, and internal data standards
• Query, extract, clean, and transform data from databases to support curation, reporting, and quality initiatives
• Integrate and verify data from internal and external sources, such as public databases and partner data
• Perform quality control, normalization, and statistical analysis of high‑throughput datasets
• Help define and track data quality metrics
• Evaluate and apply AI and LLM‑based approaches, along with scripting, to automate harmonization, curation, and repetitive tasks
• Create clear reports, summaries, and visualizations for technical and non‑technical stakeholders
• Collaborate with scientists, data stewards, and cross‑functional teams to translate analytical needs into technical solutions, resolve data issues, and improve workflows
• Document processes, decisions, and data standards

Qualifications:

• An advanced degree in data science, life sciences (e.g., biology, biochemistry, chemistry, pharmacology), omics (genomics, transcriptomics, proteomics, metabolomics), computer science, or a related field is preferred. A bachelor’s or master's degree, along with extensive professional experience, will be considered. A PhD in Biological Sciences or Bioinformatics is preferred.
• Experience analyzing and interpreting large biological datasets
• Familiarity with public biological databases and ontologies (e.g., UniProt, ChEMBL, IMGT, Gene Ontology)
• Proficiency in SQL and working knowledge of Python or R for data analysis
• Experience evaluating and validating machine learning models
• Experience with NoSQL or document databases such as MarkLogic, or with XML and JSON data, is preferred
• Familiarity with schemas and data modeling is a plus
• Strong analytical and problem‑solving skills, with close attention to detail
• Excellent written and verbal communication and collaboration skills
• Strong organizational and time management skills, with the ability to manage multiple priorities and meet deadlines
• Ability to work independently and as part of a team

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.