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AI Job Risk

Occupation baseline · Research consensus

Will AI replace Bioinformatics Scientists?

Transitioning

Baseline AI displacement risk for Bioinformatics Scientists, aggregated from 4 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 49 out of 100 it scores 8 points above the Research & Science average of 41. Across the 4 sources behind this baseline, individual estimates run from 40 to 55, 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 4 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 · 2026
  • 02Generative AI and Jobs: A Refined Global Index of Occupational Exposure · 2025
  • 03GPTs are GPTs: Labor Market Impact Potential of LLMs · 2024
  • 04AI Occupational Exposure to Language Modeling · 2023

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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Informational guidance based on published research, not professional career or financial advice. Scores update as new research is ingested.