Molecular and Cellular Biologists
Employment data isn't available specifically for this occupation from the Bureau of Labor Statistics, so we are using the data from Biological Scientists, All Other.
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Calculated automation risk
Minimal Risk (0-20%): Occupations in this category have a low probability of being automated, as they typically demand complex problem-solving, creativity, strong interpersonal skills, and a high degree of manual dexterity. These jobs often involve intricate hand movements and precise coordination, making it difficult for machines to replicate the required tasks.
More information on what this score is, and how it is calculated is available here.
User poll
Our visitors have voted there's a low chance this occupation will be automated. This assessment is further supported by the calculated automation risk level, which estimates 12% chance of automation.
What do you think the risk of automation is?
What is the likelihood that Molecular and Cellular Biologists will be replaced by robots or artificial intelligence within the next 20 years?
Sentiment
The following graph is included wherever there is a substantial amount of votes to render meaningful data. These visual representations display user poll results over time, providing a significant indication of sentiment trends.
Sentiment over time (yearly)
Growth
The number of 'Biological Scientists, All Other' job openings is expected to rise 5.6% by 2033
Updated projections are due 09-2025.
Wages
In 2023, the median annual wage for 'Biological Scientists, All Other' was $91,100, or $43 per hour
'Biological Scientists, All Other' were paid 89.6% higher than the national median wage, which stood at $48,060
Volume
As of 2023 there were 61,220 people employed as 'Biological Scientists, All Other' within the United States.
This represents around < 0.001% of the employed workforce across the country
Put another way, around 1 in 2 thousand people are employed as 'Biological Scientists, All Other'.
Job description
Research and study cellular molecules and organelles to understand cell function and organization.
SOC Code: 19-1029.02
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