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Spatial Epidemiology Jobs (NOW HIRING)

$54 - $72/hr

Spatial analysis using GIS * Quantitative disease modeling in R and/or Python And some command of ... D. degree in Biology, Epidemiology, Ecology, or a related field required. Application Requirements ...

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How much do spatial epidemiology jobs pay per year?

As of Sep 5, 2026, the average yearly pay for spatial epidemiology in the United States is $85,222.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,000.00 and $101,000.00 per year, depending on experience, location, and employer.

What is spatial epidemiology?

A Spatial Epidemiology job involves studying the geographic distribution of diseases and health outcomes to identify patterns, causes, and risk factors. Professionals in this field use GIS (Geographic Information Systems) and statistical methods to analyze spatial data and inform public health decisions. They work in government agencies, research institutions, and healthcare organizations to track disease outbreaks, assess environmental health risks, and guide interventions.

What are the typical daily responsibilities of someone working in spatial epidemiology?

Professionals in spatial epidemiology typically spend their days collecting, analyzing, and visualizing health data to identify geographic patterns and trends in diseases. Their work often involves using GIS software to create detailed maps, running statistical models to assess risk factors, and preparing reports or presentations for public health officials. Collaboration with other epidemiologists, researchers, and policy makers is common to translate findings into actionable public health strategies. The role requires a combination of independent data analysis and teamwork to address complex health challenges in diverse communities.

What are the key skills and qualifications needed to thrive in spatial epidemiology?

To thrive in spatial epidemiology, you need a solid background in epidemiology, biostatistics, and geographic information systems (GIS), often supported by an advanced degree in public health or a related field. Proficiency with software such as ArcGIS, R, or Python for spatial analysis and mapping is common, and certifications in these tools or in epidemiology can be advantageous. Strong analytical thinking, communication, and the ability to collaborate across disciplines are valuable soft skills. These abilities are essential for accurately analyzing disease patterns, sharing insights with stakeholders, and supporting effective public health decision-making.

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What cities are hiring for Spatial Epidemiology jobs?

Cities with the most Spatial Epidemiology job openings:

What are the most commonly searched types of Spatial Epidemiology jobs?

The most popular types of Spatial Epidemiology jobs are:

What states have the most Spatial Epidemiology jobs?

States with the most job openings for Spatial Epidemiology jobs include:

Infographic showing various Spatial Epidemiology job openings in the United States as of August 2026, with employment types broken down into 74% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 71% Physical, 2% Hybrid, and 27% Remote job distribution, with an average salary of $85,222 per year, or $41 per hour.

Senior Research Manager, Elimination & Eradication

Bill & Melinda Gates Foundation

Seattle, WA โ€ข On-site

$238.40 - $369.40/hr

Other

Re-posted 24 days ago


Job description

Senior Research Manager โ€“ Malaria Modeling (IDM)

Location: Seattle, Washington (may require up to 20% domestic or international travel).

Responsibilities
  • Collaborate with the E&E Deputy Director and IDM leadership to develop and implement a forwardโ€‘looking malaria modeling strategy that supports the Foundationโ€™s eradication goal.
  • Build and lead the IDM malaria modeling team, setting strategic priorities and guiding methodological approaches including dynamical and statistical modeling.
  • Develop and maintain a malaria modeling portfolio aligned with the strategy, responding to scientific advances, new programmatic tools, and global changes.
  • Deliver impactful and timely analytical products to guide strategic priorities for malaria control, elimination, and eradication to key stakeholders.
  • Coordinate across IDM research pillars and Foundation teams to maximize collaborative impact.
  • Lead planning and coordination of malaria projects for quarterly IDM Research Reviews.
  • Manage direct reports, establish a productive team culture, and collaborate with other senior research managers.
Qualifications
  • PhD in infectious disease modeling, epidemiology, malaria epidemiology, or a closely related field.
  • Demonstrated success leading multidisciplinary research in a large institute or similar organization.
  • Proven track record translating modeling results into public health policy impact with external partners.
  • Advanced knowledge of dynamical models, statistical techniques, spatial analytics, and advanced coding/AI capabilities.
  • Experience managing analytical workflows and multiple teams in a publicโ€‘health context.
  • Strong written and verbal communication skills, with ability to explain model outcomes to nonโ€‘technical audiences.
  • Project management experience and ability to lead simultaneous projects.
  • Capacity to work autonomously in unstructured environments, with a bias for action, humility, and empathy.
Desired Attributes
  • Selfโ€‘starter who can navigate changing priorities and work across cultural contexts.
  • Ability to challenge assumptions constructively and collaborate across boundaries.
  • Excellent listening skills and sensitivity to language, culture, and distance.
  • Willingness to travel up to 20% domestically and internationally.
Compensation

Salary range: $238,400 to $369,400 USD (Seattle, WA: $262,200 to $406,400 USD).

Employment Information

Unrestricted work authorization required in Washington state. The Foundation does not sponsor immigrationโ€‘related work authorization.

EEOC Statement

All applicants and employees are entitled to equality of opportunity and fair treatment without regard to race, color, age, religion, pregnancy, sex, sexual orientation, disability, gender identity, gender expression, national origin, genetic information, veteran status, marital status, and prior protected activity.

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