Explore the rankings
Technology & Data · Updated Aug 2026

Bioinformatics Technicians

Apply principles and methods of bioinformatics to assist scientists in areas such as pharmaceuticals, medical technology, biotechnology, computational biology, proteomics, computer information science, biology and medical informatics. Apply bioinformatics tools to visualize, analyze, manipulate or interpret molecular data. May build and maintain databases for processing and analyzing genomic or other biological information.

JVS 2.0.0-phase4b
AI Exposure
77/100
Very high

How much of this occupation’s work can be materially affected by current AI systems.

Replacement Risk
72/100
High

How likely exposure is to translate into reduced human demand.

Includes provisional estimates for AI adoption pressure and labour-market resilience. How this is measured

Evidence quality
Confidence84/100
Task coverage89%

Confidence reflects task coverage, mapping and capability-evidence quality, and how much of the score rests on provisional inputs.

Task-level evidence

What is driving the score?

Occupation scores are built from the task mix—not a single prediction about a job title.

JVS 2.0.0-phase4b
TaskImportanceAI impactExposure
Analyze or manipulate bioinformatics data using software packages, statistical applications, or data mining techniques.Medium
80
Maintain awareness of new and emerging computational methods and technologies.Medium
81
Develop or maintain applications that process biologically based data into searchable databases for purposes of analysis, calculation, or presentation.Medium
80
Conduct quality analyses of data inputs and resulting analyses or predictions.Medium
81
Enter or retrieve information from structural databases, protein sequence motif databases, mutation databases, genomic databases or gene expression databases.Medium
80
Design or implement web-based tools for querying large-scale biological databases.Medium
79
Extend existing software programs, web-based interactive tools, or database queries as sequence management and analysis needs evolve.Medium
74
Develop or apply data mining and machine learning algorithms.Medium
80
Write computer programs or scripts to be used in querying databases.Medium
79
Perform routine system administrative functions, such as troubleshooting, back-ups, or upgrades.Medium
79
Confer with researchers, clinicians, or information technology staff to determine data needs and programming requirements and to provide assistance with database-related research activities.Medium
75
Participate in the preparation of reports or scientific publications.Medium
82
Create data management or error-checking procedures and user manuals.Medium
79
Confer with database users about project timelines and changes.Medium
80
Monitor database performance and perform any necessary maintenance, upgrades, or repairs.Medium
38
Most exposed

Where AI can do more

Routine, digitized, and highly repeatable tasks face the greatest pressure.

  1. Participate in the preparation of reports or scientific publications.82
  2. Maintain awareness of new and emerging computational methods and technologies.81
  3. Conduct quality analyses of data inputs and resulting analyses or predictions.81
  4. Analyze or manipulate bioinformatics data using software packages, statistical applications, or data mining techniques.80
Hardest to automate

Where people still matter

These tasks score lowest on automation feasibility—physical presence, judgement, accountability and real-world variability all resist end-to-end automation.

  1. Monitor database performance and perform any necessary maintenance, upgrades, or repairs.01
  2. Extend existing software programs, web-based interactive tools, or database queries as sequence management and analysis needs evolve.02
  3. Confer with researchers, clinicians, or information technology staff to determine data needs and programming requirements and to provide assistance with database-related research activities.03
  4. Design or implement web-based tools for querying large-scale biological databases.04
  5. Write computer programs or scripts to be used in querying databases.05
Where else this work leads

Related occupations

Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.

See all rankings →
Beyond AI capability

Adoption and labour-market outlook

Structural factors are kept separate from raw capability so you can see what actually resists automation. Adoption pressure and labour-market resilience are still provisional models—25% of this occupation’s replacement-risk weight rests on them.

Human dependency60
Physical dependency20
Adoption pressure74
Labour-market resilience47
Methodology & sources

O*NET 30.3 occupational data interpreted through the JobsVsAI capability, automation and structural-constraint models.

Confidence84/100
CalculatedAug 21, 2026
Read methodology →