Will AI replace Bioinformatics Technicians?

Many of your tasks are within reach of AI. The role will change, so it pays to act now.

Task exposure to today's AI

61/100

High exposure

This is the occupation's typical task mix. Your own score can be up to 30 points higher or lower depending on how you work: routine share, people contact, judgment and how much you already use AI.

Get your personal score

Will AI replace Bioinformatics Technicians?

Not entirely. Today's AI tools can take on about 61% of the typical work in this occupation, mostly: write computer programs or scripts to be used in querying databases. The parts that stay human include: Analyze or manipulate bioinformatics data using software packages, statistical applications, or data mining techniques.; Confer with researchers, clinicians, or information technology staff to determine data needs and programming requirements and to provide assistance with database-related research activities.; Conduct quality analyses of data inputs and resulting analyses or predictions..

People who learn to use AI for the automatable parts keep the edge. The 3-phase plan below shows where to start.

Which tasks AI can take on

The largest tasks in this occupation, their share of the working week, and how much of each today's AI tools can do.

TaskAutomatable

Write computer programs or scripts to be used in querying databases.AI already used 80%

Develop or maintain applications that process biologically based data into searchable databases for purposes of analysis, calculation, or presentation.AI already used 75%

Extend existing software programs, web-based interactive tools, or database queries as sequence management and analysis needs evolve.AI already used 75%

Analyze or manipulate bioinformatics data using software packages, statistical applications, or data mining techniques. 57%

Conduct quality analyses of data inputs and resulting analyses or predictions.AI already used 53%

Confer with researchers, clinicians, or information technology staff to determine data needs and programming requirements and to provide assistance with database-related research activities. 38%

+ 13 more tasks (40% of the week) in the full test.

Your human edge

Analyze or manipulate bioinformatics data using software packages, statistical applications, or data mining techniques.
Confer with researchers, clinicians, or information technology staff to determine data needs and programming requirements and to provide assistance with database-related research activities.
Conduct quality analyses of data inputs and resulting analyses or predictions.

AI tools to try

Coding assistants (GitHub Copilot, Claude Code, Cursor)ChatGPT / Claude for design and debuggingAI test and documentation generators

Related roles

Data Scientists
Statistical Assistants
Health Information Technologists and Medical Registrars

A 3-phase AI learning plan

Phase 1

Pair programming with AI

Use a coding assistant for boilerplate, tests and refactoring.
Give it context: project rules, examples, small steps.
Review AI code like a colleague's pull request.

Project

Use a coding assistant to refactor one of your RNA-seq or variant-calling scripts into documented functions with unit tests, reviewing every diff and logging hours saved.

Phase 2

AI in your systems

Call an LLM API with structured output.
Retrieval over your own documents or data.
Evaluate quality, cost and latency before shipping.

Project

Build a tool that calls an LLM API with a strict JSON schema to extract sample metadata from 100 lab protocol or GEO description files, and measure accuracy, cost and latency against manual curation.

Phase 3

Production-grade AI

Evals and regression tests for prompts.
Security: prompt injection, data leaks, permissions.
Monitoring and cost control.

Project

Add an eval suite of 30 labelled cases plus prompt-injection and PII-leak checks to that metadata extractor, and ship a cost/latency dashboard with a monthly spend cap.

Take the free 11-question test