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Population Health Data Analyst Jobs (NOW HIRING)

Alignerr

Population Health Informaticist

Dallas, TX · Remote

Evaluate AI-generated outputs related to population health data, analytics, and public health strategy for accuracy and quality * Apply your expertise to assess how well AI handles population-level ...

Alignerr

Population Health Informaticist

Chicago, IL · Remote

Evaluate AI-generated outputs related to population health data, analytics, and public health strategy for accuracy and quality * Apply your expertise to review and annotate health datasets ...

Alignerr

Population Health Informaticist

Tampa, FL · Remote

Population Health Informaticist We're partnering with leading AI research labs to build smarter ... Review and assess AI-produced analyses involving health metrics, surveillance data, and community ...

STI

Data Architect - EPIC VBPM and Population Health

$65.25 - $84/hr

ICT), social determinants of health data. 2 Experience or Familiarity with Arcadia or similar analytics platform for Population health. 3 Expert in PBI report development. 4 Expert in Data Modelling ...

Stanford University

Research Data Analyst 2

Stanford, CA · On-site

$108K - $128.14K/yr

The Center for Population Health Sciences at Stanford University School of Medicine is seeking a Research Data Analyst 2 for data management and analysis work focused on population health. The ...

Insight

Health Data Analyst

Chicago, IL · On-site

$29.17 - $36.75/hr

A minimum of three to four years of experience in a data analyst role * Bachelor's degree in a healthcare related field, computer science or industrial engineering, preferred. Skills: * Demonstrated ...

Insight

Health Data Analyst

Chicago, IL · On-site

$29.17 - $36.75/hr

A minimum of three to four years of experience in a data analyst role * Bachelor's degree in a healthcare related field, computer science or industrial engineering, preferred. Skills: * Demonstrated ...

The University of Toledo

Health Data Analyst

Toledo, OH · On-site

$17.10/hr

Health Data Analyst Job no: 501025 Work type: Staff - Full-Time Location: Health Science Campus Support Toledo, OH Categories: Healthcare Positions, Hospital Administration, Full-Time, AFSCME Title:

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How much do population health data analyst jobs pay per year?

As of May 30, 2026, the average yearly pay for population health 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 are the key skills and qualifications needed to thrive as a Population Health Data Analyst, and why are they important?

To thrive as a Population Health Data Analyst, you need a strong background in statistics, public health, and data analysis, typically supported by a degree in public health, statistics, or a related field. Familiarity with data analytics tools like SQL, SAS, R, or Python, as well as experience with healthcare databases and data visualization platforms such as Tableau or Power BI, is essential. Strong problem-solving, attention to detail, and effective communication skills set top analysts apart by enabling them to interpret complex data and present actionable insights. These skills and qualities are crucial for accurately assessing population health trends and supporting data-driven healthcare decision-making.

What are some common challenges faced by Population Health Data Analysts when integrating data from multiple sources?

Population Health Data Analysts often encounter challenges related to data standardization, data quality, and interoperability when integrating information from diverse sources such as electronic health records, claims databases, and public health registries. Each system may use different formats, coding standards, or collection methods, requiring analysts to spend significant time cleaning and harmonizing data before analysis. Collaborating closely with IT teams, clinical staff, and external partners is crucial for resolving data discrepancies and ensuring accurate, actionable insights. Addressing these challenges helps support effective population health management and informs decision-making for healthcare organizations.

What does a Population Health Data Analyst do?

A Population Health Data Analyst collects, processes, and interprets health-related data to identify trends, outcomes, and areas for improvement in patient care and community health. They use statistical analysis and data visualization tools to help healthcare organizations make informed decisions about resource allocation, policy development, and preventive strategies. Their work supports efforts to improve public health, reduce costs, and enhance the quality of care provided to various populations.
More about Population Health Data Analyst jobs
What cities are hiring for Population Health Data Analyst jobs? Cities with the most Population Health Data Analyst job openings:
What states have the most Population Health Data Analyst jobs? States with the most job openings for Population Health Data Analyst jobs include:
What job categories do people searching Population Health Data Analyst jobs look for? The top searched job categories for Population Health Data Analyst jobs are:
Population Health Data Analyst jobs near you
Infographic showing various Population Health Data Analyst job openings in the United States as of May 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 93% Physical, 4% Hybrid, and 3% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Population Health Informaticist

Alignerr

Dallas, TX • Remote

Full-time

Posted 9 days ago

Job description

Population Health Informaticist (AI Training)
About the Role
We're partnering with leading AI research teams to build smarter, more accurate health AI - and we need population health experts to help shape it. As a Population Health Informaticist, you'll apply your real-world expertise to evaluate, annotate, and improve AI systems working with large-scale health data.
This is a fully remote, flexible contract role. You set your schedule and work on your own terms.
  • Organization
    : Alignerr
  • Type
    : Hourly Contract
  • Location
    : Remote
  • Commitment
    : 10-40 hours/week
    • What You'll Do
    • Evaluate AI-generated outputs related to population health data, analytics, and public health strategy for accuracy and quality
    • Apply your expertise to assess how well AI handles population-level metrics, health disparities, and epidemiological trends
    • Identify gaps, errors, or misleading interpretations in AI-generated health insights
    • Provide structured, expert feedback to help AI systems reason more accurately about community health data
    • Review and annotate dashboards, data pipelines, and reporting frameworks generated or described by AI tools
    • Translate your domain knowledge into clear, actionable evaluations that directly improve AI performance
    Who You Are
    • Experienced working with healthcare, public health, or population-level datasets
    • Strong analytical thinker with a solid grasp of epidemiology, health metrics, or biostatistics
    • Comfortable evaluating data visualizations, dashboards, and reporting outputs
    • Able to communicate complex findings clearly and concisely in writing
    • Self-directed, reliable, and detail-oriented
    • Comfortable working asynchronously in a remote environment
    Nice to Have
    • Experience with data annotation, quality review, or evaluation systems
    • Background in public health informatics, health IT, or clinical data management
    • Familiarity with tools such as Tableau, Power BI, QGIS, or similar platforms
    • Prior work in health equity, chronic disease surveillance, or community health programs
    Why Join Us
    • Work on cutting-edge AI projects with top research labs shaping the future of health AI
    • Fully remote and flexible - work when and how it suits you
    • Freelance perks: autonomy, variety, and global collaboration
    • Contribute meaningful expertise to AI that has real-world health impact
    • Potential for ongoing work and contract extension

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