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Spatial Analysis Public Health Postdoc Jobs (NOW HIRING)

University of Utah

Post Doc Res Assoc

Salt Lake City, UT · Hybrid

$1K - $2K/yr

Duties of the postdoctoral associate include preparing area-level data, data analysis, and ... of health. Experience with longitudinal and spatial analysis. Preferences: Record of publications ...

University of Utah

Post Doc Res Assoc

Campus, IL · Hybrid

$1K - $2K/yr

Duties of the postdoctoral associate include preparing area-level data, data analysis, and ... of health. Experience with longitudinal and spatial analysis. Preferences: Record of publications ...

University of Utah

Post Doc Res Assoc

Campus, IL · Hybrid

$1K - $2K/yr

Duties of the postdoctoral associate include preparing area-level data, data analysis, and ... of health. Experience with longitudinal and spatial analysis. Preferences: Record of publications ...

University of Utah

Post Doc Res Assoc

Salt Lake City, UT · On-site

$62K - $65K/yr

Duties of the postdoctoral associate include preparing area-level data, data analysis, and ... of health. Experience with longitudinal and spatial analysis. Preferences: Record of publications ...

University of Utah

Post Doc Res Assoc

Campus, IL · Hybrid

$1K - $2K/yr

Duties of the postdoctoral associate include preparing area-level data, data analysis, and ... of health. Experience with longitudinal and spatial analysis. Preferences: Record of publications ...

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Spatial Analysis Public Health Postdoc information

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$25K

$59K

$83.5K

How much do spatial analysis public health postdoc jobs pay per year?

As of Jun 5, 2026, the average yearly pay for spatial analysis public health postdoc in the United States is $59,022.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,000.00 and $66,500.00 per year, depending on experience, location, and employer.

What types of datasets and tools are commonly used by Spatial Analysis Public Health Postdocs in their research?

Spatial Analysis Public Health Postdocs frequently work with large, complex datasets such as demographic health surveys, electronic health records, and geospatial data like satellite imagery or GIS files. Commonly used tools include statistical software like R or Python, as well as specialized GIS platforms such as ArcGIS or QGIS. Mastery of these datasets and tools is essential for analyzing spatial patterns in public health outcomes, and collaborating with epidemiologists, data scientists, and public health officials is a regular part of the workflow.

What are the key skills and qualifications needed to thrive as a Spatial Analysis Public Health Postdoc, and why are they important?

To thrive as a Spatial Analysis Public Health Postdoc, you need a strong background in epidemiology, spatial statistics, and data analysis, typically supported by a PhD in public health, geography, or a related field. Proficiency in GIS software (such as ArcGIS or QGIS), statistical programming languages (like R or Python), and experience with spatial data modeling are essential. Critical thinking, strong communication, and collaborative skills help in translating complex spatial findings to multidisciplinary teams and stakeholders. These skills enable effective research, impactful public health interventions, and clear dissemination of spatial analysis results.

What is the difference between Spatial Analysis Public Health Postdoc vs Epidemiologist?

AspectSpatial Analysis Public Health PostdocEpidemiologist
Required CredentialsDoctoral degree (PhD or DrPH), research experienceMaster's or Doctoral degree in public health, epidemiology, or related field
Work EnvironmentAcademic or research institutions, universitiesPublic health agencies, research organizations, healthcare settings
Employer & Industry UsagePrimarily academic research, postdoctoral trainingPublic health policy, disease surveillance, outbreak investigation

While both roles involve public health research, the Spatial Analysis Public Health Postdoc focuses on advanced research and spatial data analysis during postdoctoral training, often in academic settings. An Epidemiologist typically conducts disease investigations, surveillance, and public health interventions in government or healthcare environments. The Postdoc is more research-oriented, whereas the Epidemiologist has a broader role in public health practice.

What is a Spatial Analysis Public Health Postdoc?

A Spatial Analysis Public Health Postdoc is a research position for individuals who have recently completed their doctoral degree and are interested in studying how geographic location and spatial patterns affect public health outcomes. These postdocs use statistical, GIS, and mapping tools to analyze data related to disease spread, environmental exposures, and health disparities. The goal is to inform public health interventions and policies by understanding the influence of location on health. This field often involves interdisciplinary collaboration with epidemiologists, geographers, and public health professionals.
Infographic showing various Spatial Analysis Public Health Postdoc job openings in the United States as of May 2026, with employment types broken down into 46% Full Time, 52% Part Time, and 2% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $59,022 per year, or $28.4 per hour.
Postdoctoral Associate (Public Health Sciences)

Postdoctoral Associate (Public Health Sciences)

University of Miami

Miami, FL

Full-time

Medical, Dental

Posted 8 days ago

University Of Miami rating

7.7

Company rating: 7.7 out of 10

Based on 52 frontline employees who took The Breakroom Quiz

213th of 532 rated colleges and universities

Job description

Current Employees:

If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position, please review this tip sheet.

The University of Miami/UHealth Department of SCCC Public Health Science has an exciting opportunity for a Full Time Post Doctoral Associate to work at the UHealth campus in Miami, Fl.

    We are seeking a highly motivated Postdoctoral Associate to join our bioinformatics research lab. The successful candidate will work at the intersection of computational biology, Genomics, machine learning, and data science, contributing to the development and evaluation of advanced algorithms for analyzing large-scale biological datasets. This role is ideal for candidates with a strong computer science background, such as algorithms, machine learning and data science.

    Key Responsibilities

    • Develop, implement, and evaluate machine learning and deep learning models for biological data analysis
    • Work with large-scale datasets such as:
      • Genomics / transcriptomics (bulk, single-cell, spatial)
      • Epigenomics, proteomics, or multi-omics data
    • Design data preprocessing, feature engineering pipelines.
    • Implement models in Python using frameworks such as PyTorch, TensorFlow.
    • Perform statistical analyses and model benchmarking against existing methods.
    • Collaborate with wet-lab scientists and domain experts to interpret results.
    • Contribute to manuscripts, conference abstracts, and presentations.

    Required Qualifications

    • Ph.D in Computer Science, Bioinformatics, Computational Biology, Data Science, or a related field
    • Strong programming skills in Python, R
    • Solid understanding of:
      • Machine learning fundamentals
      • Deep learning architecture (e.g., CNNs, RNNs, Transformers)
      • Optimization and model evaluation
      • Knowledge in biology and genomics
    • Experience working with large datasets and numerical computing libraries (NumPy, Pandas, SciPy)
    • Familiarity with Linux environments, version control (Git), cloud computing.

    Preferred Qualifications

    • Prior experience in bioinformatics or computational biology
    • Experience with one or more of the following:
      • Single-cell or spatial omics analysis
      • DNA Methylation analysis
      • Graph neural networks
      • Generative models (VAEs, diffusion models)
      • Multi-modal learning
    • Knowledge of bioinformatics tools and data formats (FASTQ, BAM, VCF, H5AD, AnnData, Seurat, etc.).
    • Experience with HPC clusters, cloud computing, or GPU acceleration.
    • Strong mathematical background in linear algebra, probability, and statistics.
    • Prior research experience with publications or preprints.

    The University of Miami offers competitive salaries and a comprehensive benefits package including medical, dental, tuition remission and more.

    UHealth-University of Miami Health System, South Florida's only university-based health system, provides leading-edge patient care powered by the ground breaking research and medical education at the Miller School of Medicine. As an academic medical center, we are proud to serve South Florida, Latin America and the Caribbean. Our physicians represent more than 100 specialties and sub-specialties, and have more than one million patient encounters each year. Our tradition of excellence has earned worldwide recognition for outstanding teaching, research and patient care. We're the challenge you've been looking for.

    The University of Miami is an Equal Opportunity Employer. Applicants and employees are protected from discrimination based on certain categories protected by Federal law.

    Job Status:

    Full time

    Employee Type:

    Staff

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    About University of Miami

    Sourced by ZipRecruiter

    The University of Miami, located in the beautiful Coral Gables, Florida, is a comprehensive, private research institution in the United States. Operating within the higher education industry, the institution offers a multitude of degree programs spanning over 180 majors and program through its 12 colleges. The University was founded in 1925 with the mission to disseminate knowledge, transform lives, and change the world - a mission it has held faithfully to this day. Notably, the University of Miami has gained global recognition for its commitment to research and innovation, with over $324 million in research and sponsored project funding awarded annually.

    Industry

    Colleges, universities, and professional schools

    Company size

    10,000+ Employees

    Headquarters location

    Coral Gables, FL, US

    Year founded

    1925

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