SC32P3- Information Scientist- Bioinformatician

Posted 10 Days Ago
Be an Early Applicant
Columbus, OH, USA
Hybrid
Entry level
Analytics
The Role
Analyze, validate, curate, harmonize, and transform large life sciences datasets using databases, ontologies, statistical methods, scripting, and AI/LLM approaches. Identify data-quality issues, perform corrections, integrate biological data sources, define quality metrics, and create reports and visualizations. Collaborate with scientists, data stewards, and technical teams to improve workflows, document standards, and develop scalable data solutions.
Summary Generated by Built In

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.

                                    Skills Required

                                    • Degree in data science, life sciences, omics, computer science, or a related field
                                    • Bachelor's or master's degree with extensive professional experience may be considered
                                    • PhD in Biological Sciences or Bioinformatics
                                    • Experience analyzing and interpreting large biological datasets
                                    • Familiarity with public biological databases and ontologies, including UniProt, ChEMBL, IMGT, or Gene Ontology
                                    • Proficiency in SQL
                                    • 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 XML and JSON data
                                    • Familiarity with schemas and data modeling
                                    • Strong analytical and problem-solving skills with attention to detail
                                    • Excellent written, verbal communication, and collaboration skills
                                    • Strong organizational and time management skills
                                    • Ability to work independently and as part of a team
                                    • Authorization to work in the United States without current or future company sponsorship

                                    CAS Compensation & Benefits Highlights

                                    The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about CAS and has not been reviewed or approved by CAS.

                                    • Healthcare Strength — Healthcare coverage is described as robust, with medical, dental, and vision plans highlighted as standout aspects that strengthen total rewards.
                                    • Retirement Support — Retirement offerings are portrayed as a notable strength, including a 403(b) and defined-contribution plan with employer contributions reportedly reaching up to 9%.
                                    • Leave & Time Off Breadth — Paid time off, holidays, sick leave, and parental leave are consistently emphasized as part of a broad, supportive leave package.

                                    CAS Insights

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                                    The Company
                                    HQ: Columbus, OH
                                    3,991 Employees
                                    Year Founded: 1907

                                    What We Do

                                    At CAS, we curate, connect, and analyze scientific knowledge to reveal the unseen connections that inspire breakthroughs. We weave a fabric of discovery that scientific innovators can tap into to stimulate their creativity and accelerate their work. Because when the world turns to science, science turns to CAS. So if you're advancing research, repurposing technology, making strategic decisions, or leading digital R&D initiatives, take a look at our story below to see how partnering with us gets you there faster. A global company based in Columbus, Ohio, CAS employs over 1,400 experts who curate, connect, and analyze scientific knowledge to reveal unseen connections. CAS is a division of the American Chemical Society. Connect with us at cas.org.

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