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Epidemiology Data Scientist Jobs (NOW HIRING)

Founding Data Scientist

Manhattan, NY ยท On-site

$120 - $160/hr

Top-tier healthcare, vision, and dental coverage Experience: 3 to 6+ years in statistics, biostatistics, epidemiology, data science, or related quantitative field Location: NYC Reporting to: Co ...

New

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 ...

This role will support the plant epidemiology and disease science within the Temperate Hub R&D organization. This role combines expertise in environmental data analysis, plant disease modeling, and ...

New

Summary We are seeking an experienced AI Engineer (Data Scientist) to develop AI-powered solutions ... epidemiological data preferred. Knowledge of veterinary health informatics, disease taxonomy, or ...

New

Data Scientist

Chicago, IL ยท 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

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 ...

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Showing results 1-20

Epidemiology Data Scientist information

See salary details

$37.5K

$122.7K

$196.5K

How much do epidemiology data scientist jobs pay per year?

As of Aug 7, 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:
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.

Founding Data Scientist

Alumni Ventures

Manhattan, NY โ€ข On-site

$120 - $160/hr

Other

Medical, Dental, Vision

Posted 2 days ago

New


Job description

Century Health | Founding Data Scientist

TL;DR

Weโ€™re hiring a Founding Data Scientist to own data delivery, quality control, feasibility analyses, and real-world evidence studies for life sciences partners. This is a forward-deployed role.

You will work directly with messy clinical data, generate high-quality analytic outputs, and help translate real-world data into actionable insights that accelerate medical breakthroughs.

Compensation: Competitive, based on experience

Benefits: Top-tier healthcare, vision, and dental coverage

Experience: 3 to 6+ years in statistics, biostatistics, epidemiology, data science, or related quantitative field

Location: NYC

Reporting to: Co-Founder & CTO

About Century Health

Century Health is on a mission to accelerate medical breakthrough using AI and real-world clinical data.

Today, answering critical clinical and commercial questions is slow because rich clinical data is siloed across health systems, academic institutions, and private practices. Our platform transforms this complex real-world data into research-ready datasets and rapid insights for life sciences partners, while protecting patient privacy and supporting the research community.

We are building the infrastructure that turns raw clinical data into impact.

Our Values

We are relentlessly mission-driven.

The beating heart of our company is our mission: accelerating breakthrough treatments. We strive to deliver on this for all patients.

We win with our customers.

Customers place their trust in us and we take this responsibility seriously. Good things happen when we do right by our customers. When weโ€™re not sure how, we talk to them.

We are humans first.

Weโ€™re an AI and tech company, but first we are a group of smart, caring, fun-loving humans. A diverse and inclusive team that reflects the patients we serve is essential to achieve our mission. We donโ€™t tolerate jerks.

We bias to action.

We act quickly using all available data (which realistically will be incomplete). Speed is everything in a startup and trying out an idea is the fastest way to prove if it works. We have the humility to be wrong and try again.

We take pride in what we build.

Making our mark on the world requires personal ownership and sweating the details. We celebrate doing what we love, doing it well, and doing it together.

Responsibilities

As a Founding Data Scientist, you will sit at the intersection of analytics, science, and customer delivery.

This is a hands-on role. You will work directly with real-world clinical datasets, own analytic workflows end to end, and ensure every customer-facing dataset and analysis meets a high standard of quality and reproducibility.

You will be a core contributor to both scientific outputs and commercial success.

Data Partnerships
  • Prepare customer-ready analytic datasets from real-world clinical data, including EHR and other healthcare sources.
  • Deliver statistical and clinical analyses to customer partners, requiring interfacing with disease experts, providers, and understanding the underlying data.
  • Perform rigorous data QA to validate cohort definitions, variable construction, and derived endpoints.
  • Write and complete QC reports documenting validation checks and delivery specifications.
  • Partner with engineering to identify and resolve data inconsistencies or pipeline issues.
  • Ensure reproducibility and clear documentation of all analyses.
Data Products
  • Define and build Century Health's data product portfolio from scratch - spanning customer-facing RWE tools, internal sales analytics, and AI-assisted data exploration
  • Establish best practices for analytical workflows, dataset documentation, and output validation across a growing library of reusable study templates and cohort definitions
  • Work directly with pharma partners (study design through delivery) and with the sales team (proposal support through post-sale) to ensure data products drive measurable value
  • Hire and mentor future data science team members as the company scales, setting technical and scientific standards for the function
Real-World Evidence Studies
  • Design and execute observational analyses using real-world data.
  • Apply appropriate statistical methods to address confounding, bias, and missing data.
  • Produce clear tables, figures, and summaries for external audiences.
  • Contribute to white papers, study reports, and methods documentation.
  • Translate complex findings into clear, actionable insights for both technical and non-technical stakeholders.
Qualifications

We are looking for someone who combines statistical rigor with strong execution skills and comfort working with real-world healthcare data.

Masterโ€™s or PhD in Statistics, Biostatistics, Epidemiology, Data Science, or related field.

5+ years of experience working with clinical, EHR, claims, or other real-world healthcare data.

Strong proficiency in R or Python for data wrangling and statistical analysis.

Experience building reproducible analytic pipelines and performing structured QA.

Solid understanding of observational study design and common RWE methodologies.

Strong written communication skills, including experience contributing to scientific or client-facing documents.

Ability to work independently and take ownership in a fast-moving startup environment.

Nice to have:

  • Experience supporting life sciences or pharma partners.
  • Familiarity with regulatory considerations in real-world evidence.
  • Experience with large-scale healthcare databases.

These qualifications are guidelines. If you are excited about the mission and believe you would thrive in this role, we encourage you to apply.

Apply now

We\'re growing fast and are backed by top-tier investors, so what you build has a good chance to create massive impact for patients! As one of the first hires, you will be a key part of the Century Health journey.

If you\'re interested, send a bit about yourself and your resume to sanjay@century.health.

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