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Epidemiologist / Public Health Data Scientist

Epidemiologists apply data science to disease modeling and public health. They analyze disease spread, predict outbreaks, and support health interventions.

Median Salary

$140,000

Job Growth

High — public health increasingly data-driven

Experience Level

Entry to Leadership

Salary Progression

Experience LevelAnnual Salary
Entry Level$85,000
Mid-Level (5-8 years)$140,000
Senior (8-12 years)$190,000
Leadership / Principal$240,000+

What Does a Epidemiologist / Public Health Data Scientist Do?

Epidemiologists apply data science to understand disease spread and support public health decision-making. They analyze disease surveillance data to detect outbreaks early, build mathematical models (SEIR, agent-based) predicting disease trajectories, estimate disease burden and impact, evaluate intervention effectiveness, and provide evidence for public health policies. They work across many health domains: infectious disease, chronic disease, environmental health.

A Typical Day

1

Data analysis: Analyze disease surveillance data. Calculate incidence and prevalence rates

2

Trend detection: Detect emerging outbreak signals in surveillance data

3

Model building: Build SEIR model for respiratory infection. Forecast cases next month

4

Interventions: Evaluate effectiveness of vaccination or social distancing policies

5

Risk assessment: Assess disease risk by geographic area and demographics

6

Communication: Communicate epidemiological findings to policymakers

7

Research: Publish epidemiological findings in peer-reviewed journals

Key Skills

R
Survival analysis
Geospatial methods
CDC data
SEIR models
Python

Career Progression

Epidemiologists typically lead public health research and surveillance programs. May become State Epidemiologist, Director of CDC division, or Chief Medical Officer roles.

How to Get Started

1

Learn epidemiology: Study epidemiologic methods, study design, disease dynamics

2

Statistics: Master survival analysis, time-to-event analysis, statistical testing

3

Modeling: Learn compartment models (SEIR) and transmission dynamics

4

Geospatial: Study spatial epidemiology and disease mapping

5

Programming: Master R/Python for epidemiological analysis

6

Advanced degree: MPH with epidemiology focus or graduate degree in epidemiology typically required

Frequently Asked Questions

What does epidemiology study?

Distribution and determinants of health-related states in populations. How diseases spread, who's affected, what interventions work.

What's the R value?

Basic reproduction number. How many people one infected person infects. R > 1 means epidemic growth.

What's SEIR?

Disease compartment model: Susceptible, Exposed, Infected, Recovered. Foundation for epidemic modeling.

How do you predict outbreaks?

Surveillance data (confirmed cases), environmental data, population immunity. Statistical models predict likely trajectories.

Where do epidemiologists work?

CDC, state health departments, WHO, academic medical centers, public health nonprofits, pharmaceuticals.

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Last updated: 2026-03-07