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Computational Epidemiology Jobs (NOW HIRING)

Contemporaries

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Research Scientist (Epidemiology, Surveillance, Data & AI)

Bethesda, MD · On-site

$43 - $63/hr

Advanced experience in epidemiology, public health, biostatistics, data science, computational epidemiology, or a closely related research field. * Demonstrated experience analyzing epidemiologic ...

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MyOme

Scientist, Computational Biology

Menlo Park, CA

$130K - $150K/yr

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 ...

Massgeneralbrigham

Computational Associate

Boston, MA · On-site

Bachelor's or Master's degree in Computer Science, Bioinformatics, Computational Biology, Biomedical Engineering, Statistics, Data Science, Genetics, Epidemiology, or a related quantitative field

MD Anderson

Postdoctoral Fellow - Epidemiology

Houston, TX · On-site +1

$64K - $76K/yr

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 ...

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Computational Epidemiology information

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$45K

$85.2K

$133K

How much do computational epidemiology jobs pay per year?

As of Aug 22, 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:

What job categories do people searching Computational Epidemiology jobs look for?

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Computational Epidemiology jobs near you
Infographic showing various Computational Epidemiology job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $85,222 per year, or $41 per hour.

Research Scientist (Epidemiology, Surveillance, Data & AI)

Contemporaries

Bethesda, MD • On-site

$43 - $63/hr

Contractor

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

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Job description

Contemporaries is a government contracting firm supporting the National Institutes of Health (NIH) in its efforts to hire two Research Scientists supporting epidemiology, disease surveillance, data analytics, and research innovation on a long-term contract. Both positions work with complex public-health surveillance data and scientific research; one role emphasizes surveillance analytics, data quality, and research-tool/repository support, while the second places greater emphasis on AI/ML development and application.


Key Responsibilities

  • Plan and conduct epidemiologic research involving disease-surveillance and other public-health data.
  • Analyze, structure, clean, and evaluate large, complex, multi-source, and/or real-time surveillance datasets.
  • Assess data quality, completeness, representativeness, assumptions, and limitations that may affect research findings or model validity.
  • Develop, apply, evaluate, or improve analytical methods and AI/ML approaches for epidemiologic and surveillance research.
  • Evaluate scientific and AI/ML tools for analytic soundness, reproducibility, appropriate use, and limitations.
  • Provide technical guidance to NIH/FIC scientists and investigators on epidemiologic methods, surveillance analytics, data quality, and/or AI/ML.
  • Support investigators seeking to use, adapt, replicate, or contribute research tools and code to scientific repositories.
  • Prepare research papers, reports, presentations, and peer reviews; present findings to scientific and professional audiences.
  • Collaborate with government, academic, industry, and scientific stakeholders.


Candidate Profile

  • Advanced experience in epidemiology, public health, biostatistics, data science, computational epidemiology, or a closely related research field.
  • Demonstrated experience analyzing epidemiologic, disease-surveillance, population-health, or comparable health datasets.
  • Strong quantitative research skills and experience selecting or developing appropriate analytical methodologies.
  • Experience with statistical/programming tools such as R, Python, SAS, or comparable platforms.
  • For the Data & AI-focused opening: hands-on experience developing, adapting, validating, or applying AI/ML models to epidemiologic or health data is strongly preferred.
  • For the Implementation & Services-focused opening: experience with surveillance methods, data-quality assessment, reproducible research, research repositories, or scientific tool evaluation is strongly preferred.
  • Experience preparing scientific reports, manuscripts, publications, peer reviews, or conference presentations.
  • Ability to communicate complex technical findings clearly to scientific and interdisciplinary stakeholders.

Company Description

Contemporaries is a government contracting firm who has been providing HR and Staff support to both federal and private organizations for over 35 years. Specializing in Administrative and related opportunities, while also working with Scientific, IT, Legal, Research, and related opportunities.