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Epidemiology Data Scientist Jobs (NOW HIRING)

BioLink 360

Data Scientist

Chicago, IL · On-site

$110K - $140K/yr

Bachelors degree in Computer Science, Data Science, Biostatistics, Epidemiology, Public Health, Health Economics, or another quantitative discipline. * Real, hands-on PDE data experience * 1+ years ...

New

Guidehouse

Epidemiologist Data Scientist

$85K - $141K/yr

Advanced degree (MS or PhD) in Data Science, Epidemiology, Public Health, Biostatistics, or related field. * Material experience in health data science and epidemiology, including deep experience ...

NewYork-Presbyterian

Senior Data Scientist

Cornell, WI · On-site

Graduate Degree in Medicine, Biomedical Informatics, Epidemiology, Computer Science, Data Science, Engineering, Public Health, Economics, Biostatistics, Health Policy, Statistics, Biometrics, or ...

Epistemix

Data Scientist

Pittsburgh, PA · Remote

D in Data Science, Computer Science, Epidemiology, Economics, Public Health, Statistics, Mathematics, or similar quantitative field * Experience with more than one company size or business stage ...

Integrated Resources INC

Data Scientist

Newark, NJ · On-site

Data scientist Duration: Full-time with benefits+ Bonus Location: Penn Plaza, Newark, NJ Direct ... Advanced degree (Master's level or higher) in mathematics, statistics, epidemiology, computer ...

Prolaio

Sr. Data Scientist, Clinical

Chicago, IL · On-site

Biostatistics & Epidemiology : Proven ability to implement models for statistical inference, with ... Tools for data science : Familiarity with modern coding standards for data science including ...

Prolaio

Sr. Data Scientist, Clinical

Chicago, IL · On-site

Biostatistics & Epidemiology : Proven ability to implement models for statistical inference, with ... Tools for data science : Familiarity with modern coding standards for data science including ...

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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 Aug 6, 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 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.

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 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.
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:
What job categories do people searching Epidemiology Data Scientist jobs look for? The top searched job categories for Epidemiology Data Scientist jobs are:
Epidemiology Data Scientist jobs near you
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, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist

BioLink 360

Chicago, IL • On-site

$110K - $140K/yr

Other

Posted 3 days ago

New

Job description

Position Reports To: VP of Data Science

Salary Range: $110K to $140K

Location: Remote Based (U.S.)


Data Scientist I/II


BioLink360 is partnering with a rapidly growing healthcare consulting organization to identify a Data Scientist to join its Strategic Analytics, Value & Economics team. We're recruiting Data Scientists who can turn Medicare, Medicaid, and RWE data into evidence that actually moves the needle, informing market access, pricing, and reimbursement strategy for therapies trying to reach patients who need them.


This is an opportunity to work with real-world evidence (RWE), health economics and outcomes research (HEOR), market access, and healthcare analytics while supporting leading pharmaceutical, biotechnology, diagnostics, and medical technology companies. You'll help generate evidence that informs reimbursement strategy, payer decision-making, health policy, and patient access to innovative therapies.


Position Overview

This isn't a generic claims-crunching role. You'll be embedded with consultants, economists, and policy experts, designing and executing advanced healthcare claims analyses and observational research studies using Medicare, Medicaid, commercial claims, electronic health records, and other real-world data sources. You'll translate dense CCW, VRDC, SAF, RIF, or T-MSIS data into insights that shape real decisions, the kind that determine whether a therapy gets covered, priced right, and gets to market.


It's high-impact work with direct influence on healthcare decision-making, alongside recognized experts across analytics, health economics, market access, and healthcare policy, in a collaborative, growth-oriented environment.


Key Responsibilities

  • Design and execute modeling for Medicare, Medicaid, commercial claims, EHR, and other healthcare datasets.
  • MUST have experience with pharmacy data.
  • Analyze treatment patterns, healthcare costs, utilization, and clinical outcomes to generate real-world evidence.
  • Develop scalable analytical programs using SAS, SQL, R, and/or Python.
  • Build high-quality client deliverables including executive presentations, technical reports, dashboards, and analytical summaries.
  • Translate complex analyses into actionable business insights for life sciences clients.
  • Collaborate with multidisciplinary consulting teams supporting market access, reimbursement, pricing strategy, and healthcare policy engagements.
  • Ensure analytical quality through rigorous programming validation, documentation, and quality assurance processes.


Qualifications

  • Bachelors degree in Computer Science, Data Science, Biostatistics, Epidemiology, Public Health, Health Economics, or another quantitative discipline.
  • Real, hands-on PDE data experience
  • 1+ years of professional experience using SAS.
  • 2+ years of experience conducting healthcare analytics, HEOR, RWE, or observational research.
  • Knowledge of Medicare and Medicaid reimbursement and healthcare policy.
  • Experience with CMS Chronic Conditions Warehouse (CCW), Virtual Research Data Center (VRDC), or Medicaid T-MSIS data.

Apply