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Spatial Epidemiology Jobs (NOW HIRING)

The Pennsylvania State University

Design and implement models to assess and predict environmental exposure across spatial and ... Epidemiology, or a related field. * Demonstrated record of high-quality publications in the ...

Drexel University

Research Assistant

Philadelphia, PA · On-site

$19.50 - $26.75/hr

The Headen Research Group (HRG) leverages multi-method approaches to understand the spatial ... Working at the intersections of epidemiology, systems science, and community engaged research, we ...

The Pennsylvania State University

... Epidemiology (human or veterinary), Public Health, Physics, Computer Science), and a history of productivity. Experience withstochastic simulation and model fitting to temporal and spatial infectious ...

Drexel University

Research Assistant

Philadelphia, PA

$19.50 - $26.75/hr

The Headen Research Group (HRG) leverages multi-method approaches to understand the spatial ... Working at the intersections of epidemiology, systems science, and community engaged research, we ...

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How much do spatial epidemiology jobs pay per year?

As of Jul 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 are typical daily responsibilities for 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 is a Spatial Epidemiology job?

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 key skills and qualifications needed to thrive in the Spatial Epidemiology position, and why are they important?

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.

More about Spatial Epidemiology jobs
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:
What job categories do people searching Spatial Epidemiology jobs look for? The top searched job categories for Spatial Epidemiology jobs are:
Spatial Epidemiology jobs near you
Infographic showing various Spatial Epidemiology job openings in the United States as of June 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 100% In-person job distribution, with an average salary of $85,222 per year, or $41 per hour.
Postdoctoral Associate

Postdoctoral Associate

Baylor College of Medicine

Houston, TX • On-site

Full-time

Posted 6 days ago

Baylor College of Medicine rating

8.6

Company rating: 8.6 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

54th of 544 rated colleges and universities

Job description

Summary

The Cheng Lab in the Department of Medicine, Section of Epidemiology & Population Sciences is searching for highly motivated and talented Postdoctoral Associate to work on Bioinformatics and Computational Biology in Cancer Genomics and Immunology.  This position will be involved in the development and/or application of computational approaches to understand the mechanism of cancer development, progression, metastasis, and prognosis.  The Postdoc should have experience in processing and analyzing data from the next-generation sequencing and single-cell technologies (e.g., scRNA-seq, scATAC-seq, scTR-seq, and/or spatial transcriptomics). Previous experience in both Bioinformatics/Genomics and Cancer Biology is desirable. The Postdoc is expected to collaborate closely with experimental biologists and clinicians. The position offers an extraordinary team-based science environment with opportunities for significant education, training, and career development. The role includes designing analyses, interpreting complex datasets, and translating findings into biologically meaningful insights within a multidisciplinary research environment.  This position offers a highly collaborative, team-based setting with opportunities for advanced training, mentorship, and career development.

Baylor College of Medicine typically follows similar to the NIH stipulated stipend guidelines for Postdoctoral Associates.

Job Duties
  • Develops and/or applies computational approaches to understand the mechanism of cancer development, progression, metastasis, and prognosis.
  • Collaborates closely with experimental biologists and clinicians to design studies, validates computational findings, and supports translational applications of research discoveries.
  • Participates in regular joint meetings to present findings, discuss ongoing projects, and align research strategies with lab and departmental priorities.
  • Assists in mentoring and training of junior researchers in computational techniques and bioinformatics best practices.
  • Translates complex computational results into biologically meaningful insights in collaboration with wet-lab teams.
  • Maintains thorough documentation of analyses, pipelines, and datasets in version-controlled environments.
  • Collaborates with experimental biologists and clinicians to apply computational and bioinformatics approaches to study cancer development, progression, metastasis, and prognosis.
  • Performs other job-related duties as assigned.
Minimum Qualifications
  • MD or Ph.D. in Basic Science, Health Science, or a related field.
  • No experience required.
Preferred Qualifications
  • PhD in Computational Biology, Bioinformatics, or a related field (e.g. statistics, computer science, or quantitative biology).
  • Knowledge of basic molecular biology, genomics, and epigenetics.
  • Experience in processing and analyzing data from the next-generation sequencing and single-cell technologies (e.g., scRNA-seq, scATAC-seq, scTR-seq, and/or spatial transcriptomics). 
  • Experience in both Bioinformatics/Genomics and Cancer Biology is desirable.
  • Experience in the application and development of computational methods/tools or machine learning algorithms.
  • Good computer programming skills in R/Matlab/PerlPython.

Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.

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