Occupation baseline · Research consensus
Will AI replace Bioinformatics Scientists?
Baseline AI displacement risk for Bioinformatics Scientists, aggregated from 7 research sources.
What this score means
Bioinformatics Scientists sits in the middle of the exposure range for Research & Science. Routine parts of the job are starting to automate, but much of it still depends on judgment, relationships, and context that today's models handle poorly. At 45 out of 100 it scores 6 points above the Research & Science average of 39. Across the 7 sources behind this baseline, individual estimates run from 8 to 59, so the score is a weighted consensus rather than any single figure.
The number is a consensus estimate for the typical version of the role, built from published academic and industry research scored occupation by occupation. It is not a prediction about any individual. How scoring works
What this job actually involves
Exposure follows the work itself rather than the job title, so it is worth seeing what the role is made of. These are the tasks O*NET records for Bioinformatics Scientists, most central first, showing 12 of 20.
- 01Develop new software applications or customize existing applications to meet specific scientific project needs.
- 02Communicate research results through conference presentations, scientific publications, or project reports.
- 03Create novel computational approaches and analytical tools as required by research goals.
- 04Consult with researchers to analyze problems, recommend technology-based solutions, or determine computational strategies.
- 05Analyze large molecular datasets, such as raw microarray data, genomic sequence data, or proteomics data, for clinical or basic research purposes.
- 06Keep abreast of new biochemistries, instrumentation, or software by reading scientific literature and attending professional conferences.
- 07Develop data models and databases.
- 08Compile data for use in activities, such as gene expression profiling, genome annotation, or structural bioinformatics.
- 09Design and apply bioinformatics algorithms including unsupervised and supervised machine learning, dynamic programming, or graphic algorithms.
- 10Manipulate publicly accessible, commercial, or proprietary genomic, proteomic, or post-genomic databases.
- 11Direct the work of technicians and information technology staff applying bioinformatics tools or applications in areas such as proteomics, transcriptomics, metabolomics, or clinical bioinformatics.
- 12Provide statistical and computational tools for biologically based activities, such as genetic analysis, measurement of gene expression, or gene function determination.
Task statements from O*NET by the National Center for O*NET Development, used under CC BY 4.0. The tasks are descriptive; the exposure score above is ours.
The research behind this score
This baseline aggregates 7 research sources that scored Bioinformatics Scientists for AI and automation exposure. More recent, higher confidence studies carry more weight in the final number.
- 01Anthropic Economic Index 2026 - AI Task Exposure · 2026Anthropic
- 02Global Automation Atlas: Task Substitution Exposure by Occupation · 2026Garg, Crosta, Baier (2026), arXiv:2605.17086
- 03WORKBank: Expert-Rated Automation Capacity of Occupational Tasks · 2026Shao, Zope, Jiang, Pei, Nguyen, Brynjolfsson, Yang, Stanford (2026)
- 04Generative AI and Jobs: A Refined Global Index of Occupational Exposure · 2025International Labour Organization, Working Paper 140 (2025)
- 05Working with AI: Measuring the Applicability of Generative AI to Occupations · 2025Tomlinson, Jaffe et al., Microsoft Research (2025)
- 06GPTs are GPTs: Labor Market Impact Potential of LLMs · 2024Eloundou, Manning, Mishkin, Rock (Science, 2024)
- 07AI Occupational Exposure to Language Modeling · 2023Felten, Raj, Seamans (2023)
Common questions
- How likely is AI to replace Bioinformatics Scientists?
- Published research puts Bioinformatics Scientists at 45 out of 100 for AI displacement risk, in the transitioning band. The number is a weighted consensus of 7 research sources and describes the typical version of the role, not any individual.
- Do researchers agree on the risk for Bioinformatics Scientists?
- Only partly. Individual estimates for Bioinformatics Scientists run from 8 to 59 out of 100 across the 7 sources behind this score, so the single number smooths over real disagreement. More recent and higher confidence studies carry more weight in it.
- Which research & science roles face similar AI exposure?
- The closest published research & science roles to Bioinformatics Scientists by score are Animal Scientists (45/100), Chemists (45/100), and Materials Scientists (45/100). Each has its own page with the research behind its number.
Also covers
Bioinformatician · Bioinformaticist · Bioinformatics Analyst · Bioinformatics Associate · Bioinformatics Computer Scientist · Bioinformatics Consultant · Bioinformatics Data Analyst · Bioinformatics Developer and related titles
Estimated displacement window
The dated estimate for this role is included in the full personalised report.
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More research & science occupations
- Historians46/100
- School Psychologists46/100
- Social Scientists and Related Workers, All Other46/100
- Animal Scientists45/100
- Chemists45/100
- Materials Scientists45/100
- Atmospheric and Space Scientists44/100
- Quality Control Analysts44/100
Informational guidance based on published research, not professional career or financial advice. Scores update as new research is ingested.