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Computational Epidemiology Jobs (NOW HIRING)

You will sit at the intersection of observational epidemiology, high-throughput omics, and ... Design and execute fast computational experiments to determine whether specific multi-omic panels ...

Fellows will also gain experience in computational methods and nutritional/cancer epidemiology. The ideal applicant will be prepared to lead one or more projects under the direct guidance of the ...

We are seeking highly talented and motivated postdoctoral fellows with a strong background in epidemiology, computational biology, bioinformatics, or microbiology and a research interest in cancer ...

Fellows will also gain experience in computational methods and nutritional/cancer epidemiology. The ideal applicant will be prepared to lead one or more projects under the direct guidance of the ...

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Computational Epidemiology information

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$45K

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How much do computational epidemiology jobs pay per year?

As of Sep 14, 2026, the average yearly pay for computational 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.

How does a computational epidemiologist typically collaborate with public health teams and data scientists during an outbreak response?

Computational epidemiologists play a crucial role in outbreak response by working closely with public health officials to develop models that predict the spread of diseases. They frequently collaborate with data scientists to clean, analyze, and interpret large datasets, and with epidemiologists and healthcare providers to ensure that model outputs are actionable and grounded in real-world clinical knowledge. This interdisciplinary teamwork often involves frequent meetings, shared data repositories, and iterative feedback cycles to refine models and inform public health interventions in real time.

What are the key skills and qualifications needed to thrive as a computational epidemiologist, and why are they important?

To thrive as a Computational Epidemiologist, you need a solid background in epidemiology, data analysis, and programming, typically supported by an advanced degree in public health, computer science, or a related field. Familiarity with statistical software (such as R or Python), modeling platforms, and GIS tools is frequently required, along with experience handling large datasets. Strong problem-solving, communication, and interdisciplinary collaboration skills make someone stand out in this role. These abilities are essential for accurately modeling disease trends, effectively communicating findings, and informing public health decisions.

What is the difference between Computational Epidemiology vs Data Scientist?

AspectComputational EpidemiologyData Scientist
Required CredentialsMaster's or PhD in epidemiology, public health, or related fieldsBachelor's or higher in computer science, statistics, or related fields
Work EnvironmentPublic health agencies, research institutions, academiaTech companies, finance, healthcare, consulting
Industry UsagePublic health, disease modeling, outbreak analysisBusiness analytics, machine learning, data analysis

Computational Epidemiology focuses on disease modeling and public health applications, often requiring epidemiology expertise. Data Scientists analyze large datasets across various industries, emphasizing statistical and machine learning skills. While both roles involve data analysis, their applications and required backgrounds differ significantly.

More about Computational Epidemiology jobs

What cities are hiring for Computational Epidemiology jobs?

Cities with the most Computational Epidemiology job openings:

What states have the most Computational Epidemiology jobs?

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

Infographic showing various Computational Epidemiology job openings in the United States as of September 2026, with employment types broken down into 4% Internship, 55% Full Time, 40% Part Time, and 1% Contract. Highlights an 55% Physical, 2% Hybrid, and 43% Remote job distribution, with an average salary of $85,222 per year, or $41 per hour.

Epidemiology Faculty in Infectious Disease Dynamics

Salt Lake City, UT • On-site

Other

Posted 26 days ago


Key responsibilities

  • Conduct research in infectious disease modeling or computational epidemiology.

  • Collaborate with research groups and partners across various departments and institutions.

  • Support an independent research program in the field of infectious disease dynamics.


Job description

Epidemiology Faculty in Infectious Disease Dynamics

Details:

The Division of Epidemiology at the University of Utah Spencer Fox Eccles School of Medicine invites applications for a faculty position in the area of infectious disease modeling or computational epidemiology. We seek candidates whose expertise and research align with or complement the work of the University Utah Infectious Disease Dynamics Group and the Division's strengths in areas such as mathematical, computational, and statistical modeling, data science and machine learning, network science, public health policy, outbreak analytics, pandemic preparedness, health equity, antimicrobial resistance, healthcare-associated infections, genomics, or the microbiome.

The Division collaborates with basic and translational researchers across the Department of Internal Medicine and other health science departments, the Department of Mathematics, Mathematical Biology research group, the School of Biological Sciences, and with public health partners in the intermountain west and across the globe. Additionally, the Division partners with researchers in the University-wide Immunology, Inflammation, and Infectious Disease (3i) Initiative, with strong investigative groups in host-pathogen interactions, inflammatory bowel disease, neurologic diseases, global health, and cancer; and the Microbiota and Gastrointestinal Immunology Consortium (MAGIC), with strong investigative groups in microbiota research. The University is also a premier academic environment for bioinformatics and data science. In addition, the University is closely affiliated with investigators at ARUP Laboratories, a premier reference laboratory with extensive microbiologic resources, expertise in diagnostics, and access to clinical samples and isolates, as well as the Utah Department of Health and Human Services and the U.S. Department of Veterans Affairs Salt Lake City Health Care System.

Minimum qualifications: PhD or equivalent degree, as well as a research track record that supports an independent research program.

Faculty rank and track will be commensurate with experience and appointments will include a competitive start-up package. We invite individuals from all backgrounds to apply.

Inquiries may be emailed to Damon.Toth@hsc.utah.edu or Lindsay.keegan@utah.edu.

Department: 00952 - Division of Epidemiology

City: Salt Lake City, UT

Track: Track Dependent on Qualifications

Open Until Filled: Yes

Requisition Number: PRN03690F

To apply, visit https://utah.peopleadmin.com/postings/199307

The University of Utah values candidates who have experience working in settings with students and possess a strong commitment to improving access to higher education.

Veterans' preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law. Upon request, reasonable accommodations in the application process will be provided to individuals with disabilities.

Consistent with state and federal law, the University of Utah does not discriminate based upon race, ethnicity, color, religion, national origin, age, disability, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, pregnancy-related conditions, genetic information, or protected veteran's status. The University does not discriminate on the basis of sex in the education program or activity that it operates, as required by Title IX and 34 CFR part 106. The requirement not to discriminate in education programs or activities extends to admission and employment. Inquiries about the application of Title IX and its regulations may be referred to the Title IX Coordinator, to the Department of Education, Office for Civil Rights, or both.

To request a reasonable accommodation for a disability or if you or someone you know has experienced discrimination or sexual misconduct including sexual harassment, you may contact the Director/Title IX Coordinator in the Office of Equal Opportunity and Title IX (OEO). More information, including the Director/Title IX Coordinator's office address, electronic mail address, and telephone number, can be located at https://www.utah.edu/nondiscrimination/.

Online reports may be submitted at https://oeo.utah.edu.

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