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Mathematical Epidemiology Jobs (NOW HIRING)

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 ...

A Master's degree in Statistics, Mathematics, Epidemiology, Computer Science, Economics, or related fields. * Experience in statistical analysis and data manipulation. * Proficiency in statistical ...

A Master's degree in Statistics, Mathematics, Epidemiology, Computer Science, Economics, or related fields. * Experience in statistical analysis and data manipulation. * Proficiency in statistical ...

Data Analyst

Valhalla, NY · On-site

$32 - $40/hr

A Master's degree in Statistics, Mathematics, Epidemiology, Computer Science, Economics, or related fields. * Experience in statistical analysis and data manipulation. * Proficiency in statistical ...

Bachelor's degree in Statistics/Biostatistics, Computer Science, Mathematics, Epidemiology, Health Economics or related technical discipline required. Master's Degree in Statistics/Biostatistics or ...

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Mathematical Epidemiology information

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How much do mathematical epidemiology jobs pay per year?

As of Aug 6, 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 skills and qualifications are needed for mathematical epidemiology?

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.

What is mathematical epidemiology?

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 kind of math do mathematical epidemiologists use?

Mathematical epidemiologists use a range of mathematical tools including differential equations, statistical models, and computational simulations to analyze disease spread and control strategies. They often work with data analysis, probability, and modeling software to inform public health decisions.

What does a mathematical epidemiologist do?

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.

More about Mathematical Epidemiology jobs
What cities are hiring for Mathematical Epidemiology jobs? Cities with the most Mathematical Epidemiology job openings:
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Infographic showing various Mathematical Epidemiology job openings in the United States as of August 2026, with employment types broken down into 1% Locum Tenens, 70% Full Time, 26% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $85,222 per year, or $41 per hour.

Associate Director, Epidemiology Analytics

Daiichi Sankyo, Inc.

Basking Ridge, NJ • On-site

Full-time

Posted 17 days ago


Job description

Job Requisition ID: 1447 Posting Start Date: 7/24/26 At Daiichi Sankyo, we are united by a single purpose, to improve lives around the world through innovative medicines. With a legacy of innovation since 1899, a presence in more than 30 countries, and more than 19,000 employees, we are advancing breakthrough therapies in oncology, cardiovascular disease, rare diseases, and immune disorders. Guided by our 2030 vision to "be an innovative global healthcare company contributing to the sustainable development of society", we are shaping a healthier, more hopeful future for patients, their families, and society. Job Summary This position of Associate Director has responsibilities as a safety data scientist in Epidemiology Analytics group of Clinical Safety and Pharmacovigilance (CSPV) at Daiichi Sankyo. This position uses and analyzes both clinical trial data and real-world data (RWD) to support our products under the supervision of the head of Epidemiology Analytics. This position leads the development and implementation of statistical analysis plan to support signal detection and evaluation, risk-benefit assessment, and other drug safety evaluation activities. This position collaborates with internal and external stakeholders including statisticians, epidemiologists, clinical safety and pharmacovigilance, regulatory, clinical, and other project stakeholders. In this position, you will play a critical role in supporting Epidemiologist and Safety Science team during an evaluation of adverse events and assessment of potential risks associated with our pharmaceutical products. We are looking for a detail-oriented, experienced, resilient, and proactive individual with outstanding analytical and communication skills in the industry or service provider settings. If you are driven by a desire to make a positive impact on the enrichment of quality of life around the world, we encourage you to apply for this exciting opportunity. Responsibilities Provide data management of diverse data (e.g., real-world setting and clinical trial) to set up epidemiologic data sets for various approaches, quantitative epidemiologic data analysis, interpretation of results, visualization of results, and generate manuscripts to disseminate findings. Conduct statistical analyses for epidemiological research and safety queries, including but not limited to: o Descriptive summary and multivariable regression o Exploratory analysis for safety endpoints in clinical trial data o Setup and analysis of case-control and cohort study designs o Signal detection analysis in spontaneous reports (e.g., FAERS, EVDAS) o Signal detection/evaluation analysis in RWD o Data mining (including free-text mining of unstructured data fields) using diverse data sources and methods o Development of automation platform (e.g., R Shiny App) o Literature review and meta-analysis Collaborate with cross-functional teams to evaluate and manage adverse events and risks associated with pharmaceutical products. Participate in cross-functional meetings and provide input and guidance as needed. Participate in the preparation and submission of regulatory documents related to drug safety. Maintain and manage project plans to provide deliverables on time. Collaborate with global epidemiology teams to ensure consistency and quality in safety reporting and processes. Maintain compliance with all applicable regulations and guidelines related to pharmacovigilance and drug safety. Stay informed about emerging safety issues and contribute to the development of risk management strategies. Mentor and provide guidance to junior team membersQualifications Education QualificationsMaster's Degree n Biostatistics, Data Science, Statistics, Applied Mathematics, Epidemiology or related field plus a minimum of 7 years of experience in epidemiologic methods and data analysis (pharmaceutical industry in safety or associated service provider experience is preferred). Or Doctorate Degree (PhD) in Biostatistics, Data Science, Statistics, Applied Mathematics, Epidemiology or related field plus a minimum of 4 years of experience in epidemiologic methods and data analysis (pharmaceutical industry in safety or associated service provider experience is preferred). Experience Qualifications3 or more years (based upon degree) of professional experience within the pharmaceutical industry in safety or associated service provider experience Demonstrated professional statistician skills and expertise Proven experience leading large and/or complex statistical programming projects preferred Experience providing technical and/or programming guidance and mentoring to junior programmers, fellows and team members. Ability and interest to work across cultures and geographies Ability to adapt to change and seamlessly assimilate to new projects and stakeholders Experience developing statistical analysis plan and Meta Data Repositories Familiarity with data management concepts of non-interventional studies Strategic thinking Demonstrate proficiency with programming in R, SAS, SQL, and/or Python for data mining and epidemiologic analysis Travel RequirementsAbility to travel up to 20% of the time. Both domestic and occasional travel may be requiredAdditional Information Daiichi Sankyo, Inc. is an equal opportunity/affirmative action employer. Qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law. Salary Range: USD$157,920.00 - USD$236,880.00 Download Our Benefits Summary PDF Salary: . Date posted: 07/20/2026