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Computational Epidemiology Jobs (NOW HIRING)

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 ...

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 a geneticist with a passion for applying cutting-edge approaches, including genetic epidemiology, quantitative genetics, computational biology, functional omics, machine learning and ...

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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:

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.

Postdoctoral Fellow - Epidemiology

MD Anderson

Houston, TX • On-site, Remote

$64K - $76K/yr

Full-time

Medical, Dental, Retirement, PTO

Re-posted 29 days ago


MD Anderson Cancer Center rating

8.5

Company rating: 8.5 out of 10

Based on 172 frontline employees who took The Breakroom Quiz

14th of 891 rated healthcare providers


Job description

Fully funded, full-time postdoctoral fellow positions are available in the Department of Epidemiology at The University of Texas MD Anderson Cancer Center.
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 prevention and management. The position will focus on conducting microbiome research (shotgun metagenomics and 16S rRNA), with particular emphasis on the interplay between diet (i.e., precision nutrition), the gut microbiome, and 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 principal investigator (PI), Dr. Hanseul Kim, with the goal of producing first-author publications. Responsibilities include preparing microbiome datasets, conducting bioinformatics analyses, interpreting data, and developing presentations of results for publications and scientific conferences.
All duties and responsibilities are carried out in compliance with institutional policies, ethical research standards, and applicable federal and state regulations.
LEARNING OBJECTIVES
• Implement and apply quantitative methods for analyzing epidemiologic and multi-omic data
• Intellectually lead and develop research findings into peer-reviewed manuscripts
• Present and communicate results to group members, collaborators, and other local, national, and international scientific audiences
• Assist with other research-related tasks as needed
• Once well integrated, postdoctoral scholars are strongly encouraged to propose and develop independent research topics
ELIGIBILITY REQUIREMENTS
• Ph.D. (or equivalent) degree in epidemiology, bioinformatics, biostatistics, computational biology, public health, microbiology, or related fields, or M.D. with significant (>2 years) prior research experience. Prior investigative work in the human microbiome research is strongly preferred
• Programming skills (R, SAS, or Python) are required, preferably in a cluster computing environment
• Early and promising track record of original investigative work (e.g., prior publications and conference presentations)
• Excellent written and oral communication skills
• The ability to work well in a team and to manage multiple research projects simultaneously
Candidate must be self-motivated, independent, and comfortable seeking and incorporating feedback from a large, multi-disciplinary team of colleagues.
ADDITIONAL APPLICATION INFORMATION
Prospective start date is flexible (e.g., immediate vs. summer 2026).
In addition to submitting the application, please email the following materials to PI Hanseul Kim (hkim14@mdanderson.org):
• CV/resume
• A statement (no more than 3 pages) with a description of background, interest in the position, relevant coursework or coding experience, prior research or data analysis experience, and career or academic goals
• Names and email addresses of 3 references
POSITION INFORMATION
MD Anderson offers full-time postdoc positions with a salary ranging from $64,000 to $76,000. depending on the number of years of postgraduate experience. The University of Texas MD Anderson Cancer Center offers excellent benefits, including medical, dental, paid time off, retirement, tuition benefits, educational opportunities, and individual and team recognition
Offsite work arrangements are subject to approval and may be modified or revoked at any time based on business needs, performance considerations, or regulatory requirements.
This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment.
It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html

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