Alignerr

Population Health Informaticist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Population Health Informaticist on an hourly contract, remote, for 10–40 hours/week. Key skills include data analysis, visualization, and experience with healthcare datasets. Background in epidemiology or public health is preferred. Pay rate unspecified.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
600
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🗓️ - Date
April 11, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Cambridge, England, United Kingdom
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🧠 - Skills detailed
#Visualization #Data Quality #AI (Artificial Intelligence) #Datasets #ML (Machine Learning) #Data Analysis #Statistics #Data Interpretation
Role description
Population Health Informaticist (AI Training) About The Role At Alignerr, we partner with the world's leading AI research teams and labs to build and train cutting-edge AI models. We're looking for experienced Population Health Informaticists to apply their expertise to AI projects focused on improving how intelligent systems understand, analyze, and communicate population health data. Your domain knowledge will directly shape AI models that support smarter, more equitable health decisions at scale. • Organization: Alignerr • Type: Hourly Contract • Location: Remote • Commitment: 10–40 hours/week What You'll Do • Evaluate and improve AI-generated content related to population health analytics, epidemiology, and public health data interpretation • Identify errors, gaps, and inaccuracies in AI outputs related to health metrics, disparities, and intervention strategies • Review and assess AI-generated dashboards, data narratives, and reporting frameworks for accuracy and real-world applicability • Translate complex population health concepts into structured feedback that helps AI systems reason more accurately • Work independently and asynchronously on task-based assignments that match your expertise Who You Are • Experienced working with healthcare, public health, or population-level datasets • Skilled in data analysis and visualization, including dashboards and reporting tools • Able to identify trends, disparities, and intervention opportunities within large health datasets • Confident translating complex data into clear, actionable insights for diverse stakeholders • Detail-oriented, reliable, and comfortable working independently Nice to Have • Experience with data annotation, data quality assessment, or evaluation frameworks • Background in epidemiology, biostatistics, or public health informatics • Familiarity with AI or machine learning workflows in a health context Why Join Us • Work on cutting-edge AI projects alongside top research labs and teams • Fully remote and flexible — work on your own schedule • Freelance perks: autonomy, variety, and global collaboration • Apply your specialist expertise to meaningful work that shapes the future of health AI • Potential for ongoing work and contract extension