As of June 2026, Bioinformatics Scientists has an AI-exposure score of 59/100 (Elevated exposure) on the AI-Safe Careers index, blending O*NET tasks, the Anthropic Economic Index, the Penn/OpenAI study, and BLS data. This is an estimate of task exposure, not a prediction of job loss.
Bioinformatics Scientists
More exposed than 62% of the roles we track. Median pay ~US$98,920. About 4,800 projected openings a year (BLS 2024–34 — growth plus replacement).
Pay & demand figures are US medians (BLS, in USD) — your local figures will differ. Your exposure score applies broadly.
How you compare to similar Science roles
Your tasks, by AI exposure
- Compile data for use in activities, such as gene expression profiling, genome annotation, or structural bioinformatics.
- Test new and updated bioinformatics tools and software.
- Improve user interfaces to bioinformatics software and databases.
- Create or modify web-based bioinformatics tools.
- Instruct others in the selection and use of bioinformatics tools.
- Direct the work of technicians and information technology staff applying bioinformatics tools or applications in areas such as proteomics, transcriptomics, metabolomics, or clinical bioinformatics.
- Prepare summary statistics of information regarding human genomes.
- Develop data models and databases.
- Manipulate publicly accessible, commercial, or proprietary genomic, proteomic, or post-genomic databases.
- Recommend new systems and processes to improve operations.
- Provide statistical and computational tools for biologically based activities, such as genetic analysis, measurement of gene expression, or gene function determination.
- Develop new software applications or customize existing applications to meet specific scientific project needs.
- Collaborate with software developers in the development and modification of commercial bioinformatics software.
- Confer with departments, such as marketing, business development, or operations, to coordinate product development or improvement.
- Keep abreast of new biochemistries, instrumentation, or software by reading scientific literature and attending professional conferences.
- Design and apply bioinformatics algorithms including unsupervised and supervised machine learning, dynamic programming, or graphic algorithms.
- Create novel computational approaches and analytical tools as required by research goals.
- Analyze large molecular datasets, such as raw microarray data, genomic sequence data, or proteomics data, for clinical or basic research purposes.
- Communicate research results through conference presentations, scientific publications, or project reports.
- Consult with researchers to analyze problems, recommend technology-based solutions, or determine computational strategies.
Safer adjacent roles
Your AI-Safe Career Report
Every task scored with what to do about it · 5–10 safer roles with salary, demand & reachability · skill-gap map · a 30/60/90-day roadmap · plus a résumé & LinkedIn rewrite · PDF.
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Workers with AI skills earn a roughly 62% wage premium — adapting pays. — PwC Global AI Jobs Barometer, 2026
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