Distribution across 35 profiles.
Middle half of Epidemiologists score between 30% and 39%.
0%
50%
100%
p10 · 26%
40% · p90
Task breakdown by work type
On-screen work54%
Done entirely on a computer. High AI exposure — these tasks are already in the automation zone.
In-person + screen20%
Physical sensing, digital output — e.g. interviewing someone then writing a report. Partially protected.
Computer + action10%
Computer input, real-world output — needs someone to act on it, not just software.
Fully in-person16%
No computer required. Furthest from automation — the strongest human advantage.
Typical tasks
3 synthetic profiles for a Epidemiologist, ordered by automation exposure.
Tab between them to see how task mix drives the score difference.
TaskTimeTypeExposure
Collaborating with healthcare providers, laboratories, and government agencies to collect real-time data during outbreaks (e.g., COVID-19, Ebola) and coordinating response efforts, such as contact tracing or vaccination campaigns
deep expertisesocial core
22%AA
1%
Cleaning, processing, and analyzing large datasets (e.g., case reports, lab results, or survey data) using statistical software (like R, SAS, or Python) to identify trends, correlations, or anomalies in disease spread
21%DD
56%
Designing and planning public health studies (e.g., surveillance systems, outbreak investigations, or clinical trials) to collect data on disease patterns, risk factors, or intervention effectiveness
deep expertisesocial element
15%AD
13%
Writing reports, research papers, or policy briefs to communicate findings to public health officials, policymakers, or the scientific community, including visualizations (graphs, maps) and actionable recommendations
11%DD
51%
Training or supervising junior staff, students, or public health workers on data collection methods, analysis techniques, or outbreak response protocols
deep expertisesocial core
11%DA
0%
Developing and validating mathematical or computational models (e.g., agent-based models, SIR models) to predict disease spread, evaluate intervention strategies, or estimate future healthcare needs
6%DD
64%
Presenting findings at conferences, workshops, or stakeholder meetings, and engaging in discussions to advocate for evidence-based public health policies or interventions
deep expertisesocial core
5%DA
1%
Reviewing scientific literature and staying updated on emerging research, new methodologies, or technological tools (e.g., machine learning for epidemiology) to improve study design and analysis
5%DD
58%
TaskTimeTypeExposure
Cleaning, processing, and analyzing large datasets (e.g., case reports, lab results, or survey data) using statistical software (like R, SAS, or Python) to identify trends, correlations, or anomalies in disease spread
42%DD
66%
Designing and planning public health studies (e.g., surveillance systems, outbreak investigations, or clinical trials) to collect data on disease patterns, risk factors, or intervention effectiveness
deep expertisesocial element
23%AD
15%
Collaborating with healthcare providers, laboratories, and government agencies to collect real-time data during outbreaks (e.g., COVID-19, Ebola) and coordinating response efforts, such as contact tracing or vaccination campaigns
some context neededsocial core
15%AA
0%
Training or supervising junior staff, students, or public health workers on data collection methods, analysis techniques, or outbreak response protocols
deep expertisesocial core
12%DA
12%
Reviewing scientific literature and staying updated on emerging research, new methodologies, or technological tools (e.g., machine learning for epidemiology) to improve study design and analysis
2%DD
63%
Writing reports, research papers, or policy briefs to communicate findings to public health officials, policymakers, or the scientific community, including visualizations (graphs, maps) and actionable recommendations
deep expertisesocial element
1%DD
30%
Developing and validating mathematical or computational models (e.g., agent-based models, SIR models) to predict disease spread, evaluate intervention strategies, or estimate future healthcare needs
1%DD
63%
Presenting findings at conferences, workshops, or stakeholder meetings, and engaging in discussions to advocate for evidence-based public health policies or interventions
deep expertisesocial core
1%DA
0%
TaskTimeTypeExposure
Cleaning, processing, and analyzing large datasets (e.g., case reports, lab results, or survey data) using statistical software (like R, SAS, or Python) to identify trends, correlations, or anomalies in disease spread
25%DD
70%
Designing and planning public health studies (e.g., surveillance systems, outbreak investigations, or clinical trials) to collect data on disease patterns, risk factors, or intervention effectiveness
18%AD
41%
Developing and validating mathematical or computational models (e.g., agent-based models, SIR models) to predict disease spread, evaluate intervention strategies, or estimate future healthcare needs
13%DD
68%
Writing reports, research papers, or policy briefs to communicate findings to public health officials, policymakers, or the scientific community, including visualizations (graphs, maps) and actionable recommendations
deep expertisesocial element
12%DD
30%
Presenting findings at conferences, workshops, or stakeholder meetings, and engaging in discussions to advocate for evidence-based public health policies or interventions
9%DA
14%
Reviewing scientific literature and staying updated on emerging research, new methodologies, or technological tools (e.g., machine learning for epidemiology) to improve study design and analysis
9%DD
57%
Collaborating with healthcare providers, laboratories, and government agencies to collect real-time data during outbreaks (e.g., COVID-19, Ebola) and coordinating response efforts, such as contact tracing or vaccination campaigns
deep expertisesocial core
7%AA
0%
Training or supervising junior staff, students, or public health workers on data collection methods, analysis techniques, or outbreak response protocols
deep expertisesocial core
3%DA
4%
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AI tools for this role
Tools relevant to the most automatable tasks in this profession.
