Compare Occupations

	Molecular and Cellular Biologists	Biochemists and Biophysicists	Medical Scientists, Except Epidemiologists	Biological Science Teachers, Postsecondary	Bioinformatics Scientists
SUMMARY	10% Minimal Risk	10% Minimal Risk	12% Minimal Risk	18% Minimal Risk	19% Minimal Risk
JOB SCORE	6.8/10	7.7/10	8.3/10	7.6/10	5.6/10
POLLING	26% (Low Risk, Based on 77 votes)	30% (Low Risk, Based on 195 votes)	29% (Low Risk, Based on 332 votes)	35% (Low Risk, Based on 55 votes)	47% (Moderate Risk, Based on 142 votes)
GROWTH by year 2034	1.2%	5.8%	8.7%	7.3%	1.2%
WAGES	$93,330 or $44.87 per hour	$103,650 or $49.83 per hour	$100,590 or $48.36 per hour	$83,460 or $40.12 per hour	$93,330 or $44.87 per hour
VOLUME as of 2024	59,710	34,520	156,300	53,250	59,710
SNOWFLAKE [?] The Snowflake is a visual summary of the five badges: Automation Risk (calculated), Risk (polled), Growth, Wages and Volume. It gives you an instant snapshot of an occupations profile. The colour of the Snowflake relates to its size. The better the occupation scores in relation to others, the larger and greener the Snowflake becomes.
DESCRIPTION	Research and study cellular molecules and organelles to understand cell function and organization.	Study the chemical composition or physical principles of living cells and organisms, their electrical and mechanical energy, and related phenomena. May conduct research to further understanding of the complex chemical combinations and reactions involved in metabolism, reproduction, growth, and heredity. May determine the effects of foods, drugs, serums, hormones, and other substances on tissues and vital processes of living organisms.	Conduct research dealing with the understanding of human diseases and the improvement of human health. Engage in clinical investigation, research and development, or other related activities.	Teach courses in biological sciences. Includes both teachers primarily engaged in teaching and those who do a combination of teaching and research.	Conduct research using bioinformatics theory and methods in areas such as pharmaceuticals, medical technology, biotechnology, computational biology, proteomics, computer information science, biology and medical informatics. May design databases and develop algorithms for processing and analyzing genomic information, or other biological information.

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Curious how automation and AI could affect your career? Our comparison tool lets you view two or more jobs side by side, helping you quickly spot differences in risk level, pay, growth, and popularity. All of this is based on a mix of academic research, user polling, and official labour data.

Automation Risk

Each occupation shows a probability of automation. A higher score means machines and algorithms are more likely to take over the role in the future.

Job Score

A quick summary of how a job performs overall — factoring in wages, growth, volume, and automation risk. It’s a handy way to see the bigger picture at a glance.

Polling Data

Thousands of visitors cast their votes on how “automatable” each job feels. These community insights are shown alongside the calculated probabilities.

Growth & Wages

See how fast each occupation is projected to grow and what people earn on average. High wages don’t always mean high security — automation risk still matters.

Volume of Workers

Explore how many people currently work in each occupation and in which year the data was recorded. Popularity can affect how disruptive automation will be for the wider economy.

The Snowflake Diagram

Each snowflake visualises the balance between automation risk, wages, growth, and job volume. Bigger and greener areas mean stronger performance in that dimension.

Use this comparison page to research careers, guide students, or simply explore the future of work. All data is regularly updated to keep the results relevant.