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Computational Epidemiology Jobs (NOW HIRING)

Baylor College of Medicine

WI · On-site

$63K/yr

Postdoctoral Associate - Computational biology and Bioinformatics Division: Medicine | Work ... Summary The Cheng Lab in the Department of Medicine, Section of Epidemiology & Population Sciences ...

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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 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.

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Cities with the most Computational Epidemiology job openings:

What states have the most Computational Epidemiology jobs?

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What are popular job titles for Computational Epidemiology?

Popular job titles for Computational Epidemiology:

Computational Epidemiology jobs near you
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.

Tech Staff - Computational Biologist

Lexington, MA • On-site

MIT Lincoln Laboratory
Colleges, Universities, and Professional Schools • 10K+ employees
Learn more about MIT Lincoln Laboratoryexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 22 days ago

Job description

The Counter-WMD Systems Group at MIT Lincoln Laboratory is seeking a highly motivated and multidisciplinary biologist to support research and development efforts focused on national security challenges. We are looking for an individual with expertise in computational biology, data science, and biodefense, who can contribute to our mission of developing advanced technologies to counter weapons of mass destruction.

Job Description

Key Responsibilities:

  • Lead projects involving the analysis of complex biological datasets, including next-generation sequencing and metagenomic data.
  • Apply state-of-the-art computational tools and algorithms, including machine learning and AI models, to biological questions related to multiomics, immunology, and microbiome research.
  • Design laboratory experiments to generate and validate biological data.
  • Collaborate with a multidisciplinary team to solve broad and challenging problems in biodefense.
Requirements

Required Qualifications:

  • PhD in Bioengineering, Computational Biology, Bioinformatics, Molecular Biology, or a related field, or a Computer Science degree with extensive biology experience.
  • Expertise in computational biology and bioinformatics, with proficiency in programming languages such as Python, R, or similar.
  • Experience with state-of-the-art AI and machine learning approaches for biological data analysis.
  • Excellent problem-solving skills and the ability to work independently and in collaborative, multidisciplinary environments.
  • Effective written and verbal communication skills.
  • Ability to apply systems-level thinking to holistic biodefense solutions.
Desired

Valued Experience:

  • High-performance computing and data analytics
  • Biosurveillance (e.g., epidemiology, physiological monitoring, environmental sampling)
  • Medical countermeasure / pharmaceutical development
  • Experience with genetic and/or protein language models
  • Willing to obtain and maintain a Top Secret level DoD security clearance

Recent Graduate Hiring Range: $145,200 - $170,000

Experienced Hiring Range: $145,200 - $220,000

 

Disclaimer: MIT Lincoln Laboratory provides a typical hiring range as a good faith estimate of what we reasonably expect to offer for this position at the time of posting. The final salary offered to a selected candidate will depend on various factors, including-but not limited to-the scope and responsibilities of the role, the candidate's experience, skills and education/training, internal equity considerations and applicable legal requirements. This range reflects base salary only and does not include additional forms of compensation or benefits.

At MIT Lincoln Laboratory, our exceptional career opportunities include many outstanding benefits to help you stay healthy, feel supported, and enjoy a fulfilling work-life balance. Benefits offered to employees include: 

  • Comprehensive health, dental, and vision plans
  • MIT-funded pension
  • Matching 401K
  • Paid leave (including vacation, sick, parental, military, etc.)
  • Tuition reimbursement and continuing education programs
  • Mentorship programs
  • A range of work-life balance options
  • ... and much more!  

Please visit our Benefits page for more information. As an employee of MIT, you can also take advantage of other voluntary benefits, discounts and perks.

Selected candidate will be subject to a pre-employment background investigation and must be able to obtain and maintain a Secret level DoD security clearance.

MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U.S. citizenship is required.

 

Requisition ID: 42753 

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