The Task Exposure Indexv2026.Q3
Occupation · SOC 19-1029.01 · Job Zone 5

AI exposure: Bioinformatics Scientists

Conduct research using bioinformatics theory and methods in areas such as pharmaceuticals, medical technology, biotechnology, computational biology, proteomics, computer information science, biology and medical informatics. May design databases and develop algorithms for processing and analyzing genomic information, or other biological information.

Reading this score

computed

44.2% of this occupation's weighted task load is exposed, which puts Bioinformatics Scientists at the 79th percentile of 923 occupations. The capability is largely there. Its average task scores 2.8 out of 4 on what a current system can produce, and the frictions that hold other jobs in place are comparatively weak here.

What holds the line here is verification cost. Across this occupation's 20 tasks it averages 2.00 out of 3, the highest of the five friction dimensions. In plain terms, checking the output costs more than producing it. Where an undetected error is expensive, dangerous or irreversible, the economics change. Someone has to verify the work, and verifying can cost as much as doing it. This is the friction most likely to fall as tools for checking improve.

The most exposed thing this job does is Keep abreast of new biochemistries, instrumentation, or software by reading scientific..., at 80.0%. The least is Instruct others in the selection and use of bioinformatics tools, at 10.0%. A gap of 70.0% between two parts of the same job is the reason this index publishes at task level. An occupation-wide number would have hidden both.

Within life, physical and social science occupations, this one is more exposed than most. The median across the 60 roles in the group is 35.8%, and only 13 of them score higher than this. Occupational families are not uniform, and the spread inside them is often wider than the gap between them.

What would move this score. Of 20 tasks, 15 are currently banded exposed, 3 assisted and 2 untouched. For that distribution to shift materially would take cheaper ways to verify output, since the cost of checking is currently doing more to hold this work in place than the cost of producing it. The score is re-computed every quarter against a fresh capability reference, and the change is published rather than quietly applied.

Task by task

20 tasks, O*NET 31.0
TaskExposedAssistedUntouchedImportanceBand
Keep abreast of new biochemistries, instrumentation, or software by reading scientific literature and attending professional conferences.80.0%20.0%0.0%3.86exposed
Communicate research results through conference presentations, scientific publications, or project reports.73.3%26.7%0.0%4.12exposed
Consult with researchers to analyze problems, recommend technology-based solutions, or determine computational strategies.50.0%25.0%25.0%4.43exposed
Provide statistical and computational tools for biologically based activities, such as genetic analysis, measurement of gene expression, or gene function determination.50.0%25.0%25.0%4.42exposed
Create novel computational approaches and analytical tools as required by research goals.50.0%25.0%25.0%4.38exposed
Test new and updated bioinformatics tools and software.50.0%25.0%25.0%4.09exposed
Design and apply bioinformatics algorithms including unsupervised and supervised machine learning, dynamic programming, or graphic algorithms.50.0%25.0%25.0%4.05exposed
Develop new software applications or customize existing applications to meet specific scientific project needs.50.0%25.0%25.0%4.04exposed
Manipulate publicly accessible, commercial, or proprietary genomic, proteomic, or post-genomic databases.50.0%25.0%25.0%3.98exposed
Develop data models and databases.50.0%25.0%25.0%3.91exposed
Improve user interfaces to bioinformatics software and databases.50.0%25.0%25.0%3.27exposed
Create or modify web-based bioinformatics tools.50.0%25.0%25.0%2.77exposed
Recommend new systems and processes to improve operations.45.0%30.0%25.0%3.13exposed
Collaborate with software developers in the development and modification of commercial bioinformatics software.45.0%30.0%25.0%3.32exposed
Confer with departments, such as marketing, business development, or operations, to coordinate product development or improvement.40.0%35.0%25.0%3.85exposed
Compile data for use in activities, such as gene expression profiling, genome annotation, or structural bioinformatics.23.3%26.7%50.0%4.17assisted
Prepare summary statistics of information regarding human genomes.23.3%26.7%50.0%3.90assisted
Analyze large molecular datasets, such as raw microarray data, genomic sequence data, or proteomics data, for clinical or basic research purposes.20.0%30.0%50.0%4.42assisted
Direct the work of technicians and information technology staff applying bioinformatics tools or applications in areas such as proteomics, transcriptomics, metabolomics, or clinical bioinformatics.10.0%15.0%75.0%3.70untouched
Instruct others in the selection and use of bioinformatics tools.10.0%15.0%75.0%3.53untouched

Task text and importance ratings sourced from O*NET 31.0. Shares computed. The occupation score is the importance-weighted mean. 1 task(s) lacked a usable O*NET weight and are shown but excluded from the weighting.

Where the score comes from

judged

Every task is scored through the standardised work activities it maps to. These are this occupation’s averages on the six rubric dimensions. Capability is what AI can do; the other five are what stands in the way.

DimensionMeanScale
Capability2.750-4
Embodiment0.500-3
Presence0.500-3
Accountability1.050-3
Context1.900-3
Verification cost2.000-3

What this means in practice

Where most of a role's weighted task load is exposed, the work that survives is usually the part of the job nobody wrote into the job description: deciding what should be produced rather than producing it, and being answerable for the result. The tasks lowest on this page are a better guide to where to spend your time than any general advice about the future of work.

Occupations either side of this one

The four closest scores in the same occupational family, then the four closest anywhere in the index.

Read this carefully. Exposure is not displacement. A high score means current AI systems can produce this work, not that anyone will stop paying a person to do it. Adoption depends on economics, regulation and inertia that this index deliberately does not model. How the score is built.