Will AI replace Medical Scientists, Except Epidemiologists?

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

Task exposure to today's AI

46/100

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 Medical Scientists, Except Epidemiologists?

Not entirely. Today's AI tools can take on about 46% of the typical work in this occupation, mostly: write and publish articles in scientific journals. The parts that stay human include: Prepare and analyze organ, tissue, and cell samples to identify toxicity, bacteria, or microorganisms or to study cell structure.; Conduct research to develop methodologies, instrumentation, and procedures for medical application, analyzing data and presenting findings to the scientific audience and general public.; Use equipment such as atomic absorption spectrometers, electron microscopes, flow cytometers, or chromatography systems..

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 and publish articles in scientific journals. 75%

Write applications for research grants. 70%

Plan and direct studies to investigate human or animal disease, preventive methods, and treatments for disease. 57%

Conduct research to develop methodologies, instrumentation, and procedures for medical application, analyzing data and presenting findings to the scientific audience and general public. 50%

Prepare and analyze organ, tissue, and cell samples to identify toxicity, bacteria, or microorganisms or to study cell structure. 15%

Use equipment such as atomic absorption spectrometers, electron microscopes, flow cytometers, or chromatography systems. 12%

+ 8 more tasks (31% of the week) in the full test.

Your human edge

Prepare and analyze organ, tissue, and cell samples to identify toxicity, bacteria, or microorganisms or to study cell structure.
Conduct research to develop methodologies, instrumentation, and procedures for medical application, analyzing data and presenting findings to the scientific audience and general public.
Use equipment such as atomic absorption spectrometers, electron microscopes, flow cytometers, or chromatography systems.

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 100 abstracts for one review question and draft the methods and background sections, verifying every citation against the source PDF and logging error rate.

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 assay or cytotoxicity analysis as an AI-written R or Python script with dose-response plots and stats, version it in Git, and compare results to your original.

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 200 of your own tissue images or extract variables from 50 study records, then measure agreement against human labels and document AI use and data handling.

Take the free 11-question test