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Mathematical Epidemiology Jobs (NOW HIRING)

Le CYR Consulting

Epidemiologist

Houston, TX · On-site

Great math and statistic skills * Ability to juggle multiple projects at once * Ability to effectively communicate issues * Master's Degree (MPH / MSc) in Epidemiology, Biostatistics, or relevant ...

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How much do mathematical epidemiology jobs pay per year?

As of Jun 17, 2026, the average yearly pay for mathematical 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.

What are the key skills and qualifications needed to thrive in the Mathematical Epidemiology position, and why are they important?

To thrive in Mathematical Epidemiology, you need a strong background in mathematics, statistics, and epidemiology, often supported by an advanced degree such as a master's or PhD in a related field. Proficiency with statistical software (such as R, SAS, or Python), mathematical modeling tools, and experience with data analysis platforms are essential. Strong analytical thinking, problem-solving ability, and effective communication skills help to interpret complex findings and collaborate across multidisciplinary teams. These skills are crucial for accurately modeling disease dynamics and informing public health decisions that address real-world health challenges.

Are epidemiologists good at math?

Epidemiologists, including those specializing in mathematical epidemiology, rely heavily on advanced math skills such as statistics, modeling, and data analysis to understand disease patterns and inform public health decisions. Strong proficiency in mathematics, programming, and statistical software is essential for success in this field.

What is a Mathematical Epidemiology job?

A Mathematical Epidemiology job involves using mathematical models and statistical techniques to study the spread of diseases and assess public health interventions. Professionals in this field analyze data, develop predictive models, and help inform policy decisions by simulating disease transmission dynamics. They work in academia, government agencies, health organizations, and private sectors to improve outbreak response and disease prevention strategies.

What is mathematical epidemiology?

Mathematical epidemiology is a field that uses mathematical models and statistical methods to study the spread and control of infectious diseases. Professionals in this area develop simulations and analyze data to inform public health strategies, often requiring skills in programming, statistics, and biology.

What are some typical daily responsibilities for professionals working in Mathematical Epidemiology?

Professionals in Mathematical Epidemiology typically spend their days developing mathematical models to understand the transmission of diseases, analyzing population health data, and interpreting trends to predict outbreak patterns. They often collaborate with public health officials, medical researchers, and data scientists to translate complex modeling insights into actionable health policies. The role may also involve preparing technical reports, presenting findings to stakeholders, and continuously updating models based on emerging data. This blend of analytical work and interdisciplinary teamwork creates a dynamic career path with significant impact on public health outcomes.

Can you be an epidemiologist with a math degree?

Yes, a math degree can serve as a strong foundation for a career in epidemiology, especially when complemented with coursework or experience in biology, public health, or statistics. Many epidemiologists have backgrounds in mathematics, and skills in data analysis, modeling, and statistical software are highly valuable in the field.

What is the highest paying job in epidemiology?

In epidemiology, senior roles such as Epidemiology Directors or Chief Epidemiologists tend to have the highest salaries, often exceeding $150,000 annually. These positions typically require extensive experience, advanced degrees, and leadership skills, and they often involve overseeing research, policy development, or public health programs.
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Mathematical Epidemiology jobs near you

Epidemiology Investigator 3 (PN 20014591)

Ohio Department of Taxation

Columbus, OH • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

What You'll Do: The Bureau of Infectious Diseases is seeking an Epidemiology Investigator 3 to initiate, propose, design, & conducts epidemiologic surveillance, projects, research, & investigations pertaining to healthcare-associated infections (HAIs), antimicrobial-resistant (AR) organisms, & other emerging pathogens.

This position will:

  • Coordinate data collection, ensure quality control, & oversee epidemiological database management for the Healthcare-Associated Infections/Antimicrobial Resistance (HAI/AR) Program
  • Monitor & assess incidence, prevalence, & changing distribution of HAIs, AR organisms, & other emerging infectious diseases in Ohio through epidemiologic analysis of surveillance data
  • Provide technical advice & guidance on surveillance methods, study design, data collection, & data management related to HAI/AR surveillance projects or outbreak investigations to staff in local health departments (LHDs) & other agencies
  • Work independently on surveillance & investigation projects as assigned
  • Initiate, design, & conduct research & analytic activities to investigate clusters & outbreaks including virtual or onsite visits to improve the understanding of HAIs & AR organisms in Ohio, & to monitor the impact of HAI/AR programmatic activities & progress toward implementation of program prevention workplans
  • Submit, or arrange for submission of specimens associated with HAI/AR cases, clusters, or outbreaks to the ODH Public Health Laboratory &/or regional Antimicrobial Resistance Laboratory Network (ARLN) lab for confirmation & characterization
  • Provide technical advice & guidance to healthcare facilities, LHDs, & the public regarding identification, prevention, & control of HAIs & AR organisms based on current recommendations
  • Conduct computerized epidemiological & statistical analysis using appropriate statistical software (e.g., SAS, REDCap) to evaluate effectiveness of HAI/AR surveillance & control activities
  • Analyze & interpret epidemiologic trends to produce technical reports and data visualizations to support public health findings
  • Respond to information requests from health care providers, public health officials & the general public regarding the epidemiology of HAIs & AR organisms in Ohio
  • Assist supervisor with administrative duties

Unusual Working Conditions: Requires travel; may be away from home & normal work site up to 30 days during emergencies; may be exposed to contagious & communicable diseases & toxic or hazardous chemicals.

Completion of graduate core program in public health or preventive medicine AND 3 courses or 9 mos. exp. in use of statistical computer software packages AND 6 mos. exp. as epidemiology investigator with local or federal health agency AND must be able to provide own transportation 
-Or 6 mos. exp. as Epidemiology Investigator 2, 65762; must be able to provide own transportation. 
-Or equivalent of Minimum Class Qualifications For Employment noted above.

Applications of those who meet the minimum qualifications will be further evaluated against the following criteria:

  • Graduate or advanced degree in public health or preventive medicine 
  • Courses in epidemiology
  • Experience working with statewide epidemiologic databases
  • Experience with case finding and active follow-up (e.g., case management) for an infectious disease or health condition
  • Experience in statistical software (e.g., SAS, STATA or SPSS)
  • Experience interpreting and conducting a statistical analysis of health-related data 
  • Experience working outbreak investigations
  • Experience as a lead worker

All eligible applications shall be reviewed considering the following criteria: qualifications, experience, education and active disciplinary record.
Job Skills: Public Health
Technical Skills: Data Analytics, Data Visualization, Statistics/Mathematics
Professional Skills: Attention to Detail, Reasoning, Interpreting Data

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