Epidemiologists

7% (Minimal 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

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.

Wages

High paid relative to other professions

In 2023, the median annual wage for 'Epidemiologists' was $81,390, or $39 per hour

'Epidemiologists' were paid 69.4% higher than the national median wage, which stood at $48,060

Wages over time

Comments

Dr Nathaniel Kovacs (Low) 2 years ago

The job of an epidemiologist is too dependent on analytical thinking that I believe we are quite safe from automation today, but I am not denying the fact that technology is ever growing and may someday have the ability to do the job of an epidemiologist.

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BCMJ (Low) 4 years ago

The tools will continue to be automated, but until AI can develop their own tools, interpret them, and then appropriately convey them to stakeholders and the public - this is a long shot.

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Miche (No chance) 4 years ago

People seem to think that epi is just data crunching, but it's fairly nuanced and has to evolve with current information. Case definitions, contact tracing, and designing studies are all things that currently have no automation whatsoever. Biostats is important, but the more subjective parts of epidemiology are both the hardest and most impactful parts of the profession.

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Tino (Low) 4 years ago

There are some job functions that could be easily automated like community mapping and analysis of disease and outbreak patterns as well as many of the statistical models that are used, especially considering that a number of the models are already done by computer software (SAS).

However, data interpretation and human impact those require more organic minds that process emotion a little bit better.

I will say that AI will augment many of the functions of the job and make us better able to contain and even prevent epidemics and that is ultimately what we exist to do.

There are however many roles within this profession that are not so easily automated because again they have to do with human care and concern.

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