Population Health Informaticist

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 bring their domain expertise to AI — helping ensure that health-focused AI systems are accurate, insightful, and genuinely useful. This is a unique opportunity to apply your public health and data analytics background in a new context: shaping how AI understands and reasons about population-level health data.

What You'll Do

• Evaluate AI-generated analyses of population health data for accuracy, clinical relevance, and methodological soundness
• Review and provide structured feedback on AI outputs related to health trends, disparities, surveillance, and intervention strategies
• Apply your expertise to identify gaps, errors, or oversimplifications in how AI interprets epidemiological and public health concepts
• Help develop and refine evaluation criteria for health informatics tasks
• Work independently and asynchronously on your own schedule

Who You Are

• Experienced working with healthcare, public health, or population-level datasets
• Strong analytical skills with the ability to assess data quality, methodology, and interpretation
• Familiar with health metrics, surveillance systems, dashboards, or reporting frameworks
• Able to communicate complex insights clearly in writing
• Detail-oriented and self-motivated

Nice to Have

• Experience with data annotation, data quality assessment, or evaluation workflows
• Background in epidemiology, biostatistics, or public health informatics
• Familiarity with tools like Tableau, Power BI, SAS, R, or Python for health data analysis
• Prior work with AI, machine learning, or clinical decision support systems