Will AI replace Molecular and Cellular Biologists?

Some of your tasks will be automated. People who use AI will have the edge.

Task exposure to today's AI

42/100

Moderate 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 Molecular and Cellular Biologists?

Not entirely. Today's AI tools can take on about 42% of the typical work in this occupation, mostly: prepare or review reports, manuscripts, or meeting presentations. The parts that stay human include: Perform laboratory procedures following protocols including deoxyribonucleic acid (DNA) sequencing, cloning and extraction, ribonucleic acid (RNA) purification, or gel electrophoresis.; Conduct research on cell organization and function, including mechanisms of gene expression, cellular bioinformatics, cell signaling, or cell differentiation.; Supervise technical personnel and postdoctoral research fellows..

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

Prepare or review reports, manuscripts, or meeting presentations. 62%

Design molecular or cellular laboratory experiments, oversee their execution, and interpret results. 60%

Compile and analyze molecular or cellular experimental data and adjust experimental designs as necessary. 57%

Maintain accurate laboratory records and data. 57%

Conduct research on cell organization and function, including mechanisms of gene expression, cellular bioinformatics, cell signaling, or cell differentiation. 45%

Perform laboratory procedures following protocols including deoxyribonucleic acid (DNA) sequencing, cloning and extraction, ribonucleic acid (RNA) purification, or gel electrophoresis. 10%

+ 16 more tasks (41% of the week) in the full test.

Your human edge

Perform laboratory procedures following protocols including deoxyribonucleic acid (DNA) sequencing, cloning and extraction, ribonucleic acid (RNA) purification, or gel electrophoresis.
Conduct research on cell organization and function, including mechanisms of gene expression, cellular bioinformatics, cell signaling, or cell differentiation.
Supervise technical personnel and postdoctoral research fellows.

AI tools to try

ChatGPT / Claude for literature and writingAI research tools (e.g. Elicit, Consensus, Semantic Scholar)Copilot for data analysis code (Python, R)

Related roles

A 3-phase AI learning plan

Phase 1

Faster literature and writing

Literature search and summaries with AI, always checked against the papers.
Drafts of methods, reports and grant text.
Reference management and formatting.

Project

Use AI to screen 40 papers on your pathway of interest into a referenced mini-review and a draft methods section, verifying every claim and citation against the PDFs; log hours saved versus your usual pace.

Phase 2

AI for data analysis

Analysis code in Python or R written with AI help.
Visualisation and statistics explained step by step.
Reproducibility: version code and prompts.

Project

Rebuild one past qPCR or RNA-seq analysis as an AI-written R or Python script with plots and stats, version it in a repo with your prompts, and check results match the original figures.

Phase 3

AI as a research method

Classification, extraction or modelling with AI on your data.
Validate against human labels or ground truth.
Ethics, data protection and disclosure of AI use.

Project

Train or prompt an AI model to classify 500 of your own microscopy images or score cell phenotypes, measure accuracy against your manual labels, and write an AI-use and data-handling disclosure.

Take the free 11-question test