Bioinformatics Scientists

Most exposed tasks

Highest structured exposure values in this role’s task mix — the work AI systems can already do most of.

• Compile data for use in activities, such as gene expression profiling, genome annotation, or structural bioinformatics.75
• Create or modify web-based bioinformatics tools.65
• Improve user interfaces to bioinformatics software and databases.65

Augmentable tasks

Work where AI assists rather than replaces — the productivity frontier of this role.

• Develop data models and databases.56
• Manipulate publicly accessible, commercial, or proprietary genomic, proteomic, or post-genomic databases.56
• Recommend new systems and processes to improve operations.55

Most durable tasks

Lowest exposure — typically judgment, relationships, physical presence, or accountability. This is the human moat.

• Consult with researchers to analyze problems, recommend technology-based solutions, or determine computational strategies.32

Task exposure values and classifications come from the versioned data release — they are structured data, not model output. Bars show exposure contribution relative to this role’s task mix.

What this means

A score of 54 puts Bioinformatics Scientists in the third quartile of analyzed occupations. In practice, exposure this high is about the mix: 7 of 20 analyzed tasks lean automatable, 12 augmentable, and 1 durable. The useful question isn’t “will AI take this job” — it’s which tasks go first, which get faster, and where to reposition time. That’s what the personalized report maps against your actual week.

One next move: audit how much of your week sits in the exposed tasks above — then shift time toward the durable set or investigate the adjacent roles below.

Lower-exposure adjacent roles

No adjacent role in the current data release is at least 10 points lower with ≥50% skill overlap — we don’t label anything “safer” unless the data supports it.

Labor-market context

• $98,920median wage
• 55,850employed
• 4,800annual openings
• +1.3%projected growth

Context only — labor statistics are not inputs to the exposure score. See methodology.

Related roles

Adjacent by skills or family — no exposure claim implied.

• Bioinformatics Technicians 77
• Molecular and Cellular Biologists 53
• Geneticists 48
• Biostatisticians 52
• Data Scientist 41
• Bioengineers and Biomedical Engineers 46

FAQ — Bioinformatics Scientists

What does a score of 54 mean for a Bioinformatics Scientists?

It means that, weighted across the 20 tasks we analyzed for this role, the task mix sits at 54 on a 0–100 exposure scale — in the third quartile of analyzed occupations. It measures task exposure to current and near-term AI capabilities, not the probability of losing a job.

Which tasks in this role are most exposed to AI?

The highest-exposure tasks are: Compile data for use in activities, such as gene expression profiling, genome annotation, or structural bioinformatics; Create or modify web-based bioinformatics tools; Improve user interfaces to bioinformatics software and databases. Exposure is scored per task from structured data, not generated by a language model.

Which parts of this job are most durable?

The most durable responsibilities are: Consult with researchers to analyze problems, recommend technology-based solutions, or determine computational strategies. Durable tasks typically depend on judgment, relationships, physical presence, or accountability.

Is this score personalized to me?

No — this page shows the occupation-level baseline. Two people with the same title often do different work. The $9 personalized report recalculates the score from the tasks you actually do and builds a concrete 7/30/90-day plan around them.