Will AI replace Molecular and Cellular Biologists?
Estimated risk score: 43 out of 100
Lower replacement risk
Estimate from published task research, not reviewed by a person · how we estimate
Within about 19 points for 4 in 5 of the jobs we checked (24 to 62).
For the occupation as a whole, from ratings of its 22 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 19-1029.02 · Life, Physical, and Social Science
Tasks rated in 2023 as ones AI could do or speed up
Tasks a GPT-4-class model could do, or do in half the time or less: 4 of its 22 rated tasks. In O*NET’s words.
- Maintain accurate laboratory records and data.
- Write grant applications to obtain funding.
- Design databases, such as mutagenesis libraries.
- Prepare or review reports, manuscripts, or meeting presentations.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 4 of its 22 rated tasks. In O*NET’s words.
- Perform laboratory procedures following protocols including deoxyribonucleic acid (DNA) sequencing, cloning and extraction, ribonucleic acid (RNA) purification, or gel electrophoresis.
- Evaluate new supplies and equipment to ensure operability in specific laboratory settings.
- Monitor or operate specialized equipment, such as gas chromatographs and high pressure liquid chromatographs, electrophoresis units, thermocyclers, fluorescence activated cell sorters, and phosphorimagers.
- Supervise technical personnel and postdoctoral research fellows.
What the job is
Research and study cellular molecules and organelles to understand cell function and organization.
Also called: Biology Researcher, Cellular Biologist, Electrophysiologist, Structural Biologist, Cell Biology Scientist, Purification Scientist, DNA Sequencing Associate, Molecular Biology Researcher.
Source. This site includes information from the O*NET 30.1 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. USDOL/ETA has not approved, endorsed, or tested these modifications. (O*NET, CC BY 4.0.) Task ratings: Eloundou, Manning, Mishkin and Rock (2023), “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, data used under the MIT licence (licence texts). Our change: we averaged the ratings over this occupation’s tasks and calibrated them to our 0–100 scale. It is not a prediction about any one person and not career advice. Disagree? Write to hello@yourstopwashit.com. How we estimate