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Epidemiology Data Scientist Jobs (NOW HIRING)

We are seeking a Healthcare Data Scientist (Real-World Evidence) to answer complex healthcare and ... epidemiology, clinical trials, public health, health informatics, or health economics). PhD ...

We are seeking a Healthcare Data Scientist (Real-World Evidence) to answer complex healthcare and ... epidemiology, clinical trials, public health, health informatics, or health economics). PhD ...

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Epidemiology Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do epidemiology data scientist jobs pay per year?

As of Sep 3, 2026, the average yearly pay for epidemiology data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What does an epidemiology data scientist do?

An Epidemiology Data Scientist analyzes health-related data to identify patterns, causes, and effects of diseases within populations. They use statistical methods, programming, and machine learning to interpret complex datasets and provide insights that help inform public health decisions. Their work often involves modeling disease outbreaks, evaluating interventions, and communicating findings to healthcare professionals and policymakers. Epidemiology data scientists play a crucial role in disease surveillance, prevention strategies, and shaping effective public health policies.

How does an epidemiology data scientist typically collaborate with public health professionals and researchers?

Epidemiology Data Scientists frequently work alongside public health officials, epidemiologists, and clinical researchers to analyze large datasets and translate findings into actionable public health insights. They often participate in cross-functional teams, sharing their expertise in data modeling, statistical analysis, and data visualization to support outbreak investigations, policy development, and health intervention evaluations. Effective communication is key, as they must explain complex technical results to non-technical stakeholders and help design studies that answer critical public health questions.

What are the key skills and qualifications needed to thrive as an epidemiology data scientist, and why are they important?

To thrive as an Epidemiology Data Scientist, you need a strong background in epidemiology, statistics, and data analysis, typically supported by a degree in public health, biostatistics, or a related field. Proficiency with statistical programming languages such as R or Python, experience with databases, and familiarity with data visualization tools are highly valued, and certifications in data science or epidemiology can be advantageous. Excellent problem-solving, communication, and collaboration skills help translate complex data into actionable public health insights. These skills are crucial for accurately analyzing health trends and supporting effective public health decision-making.

What is the difference between Epidemiology Data Scientist vs Biostatistician?

AspectEpidemiology Data ScientistBiostatistician
Required CredentialsMaster's or PhD in Epidemiology, Data Science, or related fieldsMaster's or PhD in Biostatistics, Statistics, or related fields
Work EnvironmentPublic health agencies, research institutions, healthcare organizationsAcademic institutions, pharmaceutical companies, research labs
Industry UsageAnalyzing disease patterns, public health data, outbreak investigationsDesigning studies, analyzing clinical trial data, statistical modeling
Common Search/ComparisonYesYes

While both roles involve data analysis and statistical skills, Epidemiology Data Scientists focus on public health data, disease trends, and outbreak analysis, often working in healthcare or government settings. Biostatisticians typically design and analyze clinical studies, working mainly in research or pharmaceutical industries. Both require strong statistical credentials but differ in their primary focus and work environment.

More about Epidemiology Data Scientist jobs

What cities are hiring for Epidemiology Data Scientist jobs?

Cities with the most Epidemiology Data Scientist job openings:

What states have the most Epidemiology Data Scientist jobs?

States with the most job openings for Epidemiology Data Scientist jobs include:

Infographic showing various Epidemiology Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist, HC Analytics

Henry Ford Health System

Detroit, MI • On-site

Full-time

Posted 19 days ago


Henry Ford Health rating

6.9

Company rating: 6.9 out of 10

Based on 573 frontline employees who took The Breakroom Quiz

454th of 898 rated healthcare providers


Job description

GENERAL SUMMARY: 

The Data Scientist, Healthcare Analytics assists the Senior Data Scientist, Healthcare Analytics and other business analysts with working with business users to fully understand their needs for data science solutions. Works with a variety of data sources, both internal and external, big and small, structured and unstructured formats to build analytic models utilizing machine-learning techniques. Partners with the IT group to ensure that the data is sourced from the right location for data science model building. Participates in the development of project deliverables, especially documentation, for data science deliverables. As a team player, interacts with various other roles such as data engineers, business analysts and others. The Data Scientist, Healthcare Analytics solves analytical problems and develops cutting edge solutions to business problems. Should also be skilled at extracting, transforming, and analyzing data using a variety of common analytical tools and statistical techniques. Should be able to present findings in a compelling manner to both a business and non-technical audience. The position requires a team player that is eager to continue to learn and evolve with business needs and changes in the data and business environment. 

EDUCATION/EXPERIENCE REQUIRED: 

  • Must have an undergraduate (BS) degree in Statistics, Mathematics, Econometrics, Operations Research, Public Health, and Epidemiology or another related field. MS degree is preferred. 
  • Three plus (3+) years of professional work experience. 
  • Two plus (2+) years of experience involving quantitative data analyses for problem solving in US Healthcare industry. 
  • Two plus (2+) years of experience with predictive, forecasting, and optimization problem solving using data analytics tools like Python, R or SAS. 
  • Exposure of working with cloud Big Data Stack to orchestrate data gathering, cleansing, preparation and modelling preferred. 
  • Advanced SQL skills working with RDBMSs such as Oracle, SQL Server, etc. 
  • Experience working with data visualization tools or Data Visualization Designers in Tableau or Power BI. 
  • Also, experience with data visualization for analytic models in Rshiny, GGPlot, Qlik, Alteryx, Flask, D3, etc. used to tell the data story to business users to foster adoption of analytic outputs created preferred. 
  • Exceptionally skilled in machine learning, data analytics, pattern recognition and predictive modelling.
  •  Strong communication and presentation skills. Effective communication and storytelling skills. 
  • Energy and enthusiasm. Passion for learning and contributing to development. A true team player. Collaborative mindset for effective communication across teams.

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About Henry Ford Health

Sourced by ZipRecruiter

Henry Ford Health provides a full continuum of services from Primary and Preventative care, to Complex and Cpecialty care, Health Insurance, a full suite of home health offerings, Virtual care, Pharmacy, Eye care and other Healthcare retail. It is one of the Nation’s leading Academic Medical Centers, recognized for Clinical excellence in Cancer care, Cardiology and Cardiovascular Surgery, Neurology and Neurosurgery, Orthopedics and Sports medicine, and Multi organ transplants. Consistently ranked among the top five NIH funded institutions in Michigan, Henry Ford Health engages in more than 2,000 research projects annually. Equally committed to educating the next generation of Health Professionals, Henry Ford Health trains more than 4,000 Medical students, Residents and fellows every year across 50+ accredited programs. With more than 33,000 valued team members, Henry Ford Health is also among Michigan’s largest and most Diverse employers, including nearly 6,000 physicians and researchers from the Henry Ford Medical Group, Henry Ford Physician Network and Jackson Health Network.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1915