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Epidemiology Data Analyst Jobs (NOW HIRING)

Loopback LLC

RWD Data Analyst

Dallas, TX · On-site

$25 - $35/hr

Data Analysis & Solution Development * Analyze Loopback's large-scale healthcare data warehouse ... Epidemiology, Computer Science, Pharmacy, Public Health, or related). * Exposure to SQL and at ...

Loopback LLC

RWD Data Analyst

Dallas, TX

$25 - $35/hr

Data Analysis & Solution Development * Analyze Loopback's large-scale healthcare data warehouse ... Epidemiology, Computer Science, Pharmacy, Public Health, or related). * Exposure to SQL and at ...

Montana

Health Services Data Analyst

Helena, MT · Hybrid

Two (2) years of progressively responsible and relevant experience in economic, statistical, epidemiological, program evaluation, or related analysis. * Experience with data tools such as Tableau, R ...

STI

Data Analyst - Indianapolis, IN

Indianapolis, IN · On-site

... epidemiological methods, study design, and analysis needed with an understanding of both qualitative and quantitative data. • Working knowledge of MS Office Suite including Excel, Word, and ...

Texas A&M AgriLife

Lead Data Analyst

Dallas, TX · On-site

Job Title Lead Data Analyst Agency Texas A&M Agrilife Research Department Dallas Proposed Minimum ... D. in nutrition epidemiology or related field (e.g., public health, nutrition, statistics, or ...

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How much do epidemiology data analyst jobs pay per year?

As of Jul 2, 2026, the average yearly pay for epidemiology data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What does an Epidemiology Data Analyst do?

An Epidemiology Data Analyst collects, processes, and analyzes health-related data to identify disease patterns, risk factors, and trends. They use statistical tools and software to interpret public health information and provide insights that help policymakers, researchers, and healthcare organizations make informed decisions. Their work supports disease surveillance, outbreak investigations, and health policy development. Strong analytical skills, proficiency in data visualization, and knowledge of epidemiological methods are essential for this role.

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

To thrive as an Epidemiology Data Analyst, you need strong analytical skills, a solid background in statistics or public health, and proficiency with data management and analysis, often supported by a relevant degree. Familiarity with statistical software such as SAS, R, STATA, or Python, as well as experience with data visualization tools and public health data systems, is typically expected. Attention to detail, clear communication, and the ability to work collaboratively are standout soft skills in this position. These skills are vital for accurately interpreting health data, informing public health decisions, and effectively contributing to multidisciplinary teams.

What are some typical projects or responsibilities an Epidemiology Data Analyst might handle on a daily basis?

Epidemiology Data Analysts commonly gather and clean large datasets, perform statistical analyses to identify health trends, and create reports or dashboards to present findings. They frequently collaborate with epidemiologists, public health officials, and policy makers to support data-driven decision-making. On any given day, you may conduct literature reviews, help design studies, validate data, or respond to urgent requests for public health insights. This diverse workload makes the role both challenging and rewarding, as your contributions directly impact health initiatives and policy development.

More about Epidemiology Data Analyst jobs
What are the most commonly searched types of Epidemiology Data Analyst jobs? The most popular types of Epidemiology Data Analyst jobs are:
What states have the most Epidemiology Data Analyst jobs? States with the most job openings for Epidemiology Data Analyst jobs include:
What job categories do people searching Epidemiology Data Analyst jobs look for? The top searched job categories for Epidemiology Data Analyst jobs are:
Epidemiology Data Analyst jobs near you
Infographic showing various Epidemiology Data Analyst job openings in the United States as of June 2026, with employment types broken down into 89% Full Time, 6% Part Time, and 5% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
RWD Data Analyst

RWD Data Analyst

Loopback LLC

Dallas, TX • On-site

$25 - $35/hr

Full-time

Posted 27 days ago

Job description

This employer will not sponsor applicants for employment visa status (e.g., H1-B) for this position. All applicants must be currently authorized to work in the United States on a full-time basis.
Role Summary
Loopback Health is hiring an innovative and team-oriented RWD Data Analyst who will work closely with Loopback Real World Data and Data Operations teams. This position will give exposure to how healthcare data is used to support clinical research across various Life Sciences stakeholders, including pharmaceuticals, medical device, and regulatory functions.
Key Responsibilities:
Data Analysis & Solution Development
  • Analyze Loopback's large-scale healthcare data warehouse (claims, EHR, pharmacy, etc.) to support answering clinical research feasibility questions across various therapy areas.
  • Assist in developing reporting tools that help non-technical stakeholders understand the data asset.
  • Synthesize and communicate analytical findings to team members.

Cross-Functional Collaboration & Continuous Improvement
  • Collaborate with Sales, Client Success, Product, and Operations teams to improve data quality, documentation, and product features.
  • Gather and document customer feedback to inform future data product development.

Qualifications
Required:
  • Bachelor's degree (completed or working towards) in a quantitative or life sciences field (e.g., Statistics, Bioinformatics, Epidemiology, Computer Science, Pharmacy, Public Health, or related).
  • Exposure to SQL and at least one scripting/statistical language (Python, R).
  • Exceptional problem-solving skills with the ability to break down ambiguous client questions into actionable analyses.
  • Strong communication skills, both verbal and written, with an ability to explain complex data concepts to non-technical audiences.
  • Comfortable working in a fast-paced, cross-functional team environment.

Soft Skills
  • Data-driven and analytically rigorous, with a focus on delivering client value.
  • Creative, resourceful, and comfortable with ambiguity.
  • Strong collaborator who thrives in a team-oriented, rapidly evolving environment.
  • Interest in using AI-assisted tools for data analysis, coding, or workflow efficiency

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or national origin.

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