Population Health Informaticist

Job Description

Population Health Informaticist | Alignerr

The Tone:
This is a contract role at Alignerr, located remotely. Alignerr collaborates with leading AI research teams and labs globally to develop and train advanced AI models. In this role, you will play a crucial part by utilizing extensive health data to uncover significant trends, identify health disparities, and evaluate outcomes across diverse communities. Your analytical contributions will directly inform and support the creation of data-driven strategies and effective programs aimed at improving health at a population level.

The TL;DR
• Role: Contract
• Type: Contract
• Location: Remote
• Pay: $35–$75 hourly
• Mission: Uses large-scale health data to identify trends, disparities, and outcomes across communities to design data-driven health improvement strategies.

What You’ll Actually Do
• Data Collection & Integration: Collect, integrate, and meticulously evaluate population health metrics from various sources to build a comprehensive understanding of community health.
• Trend & Disparity Analysis: Analyze integrated health data to identify emerging trends, pinpoint health disparities, and discover critical opportunities for improving health outcomes across communities.
• Reporting & Decision Support: Design robust dashboards, efficient data pipelines, and clear reporting frameworks that enable continuous monitoring, effective surveillance, and informed decision-making for population health initiatives.
• Strategic Program Development: Translate complex analytical insights into clear, actionable strategies, evidence-based policies, and impactful data-driven programs designed to improve public health outcomes at scale.

The Must-Haves
• Background: Demonstrated understanding and practical experience working with large-scale healthcare, public health, or population-level datasets.
• Experience: Proven track record of applying strong analytical and data visualization skills, including hands-on experience with dashboards and reporting tools to present complex health data.
• Skills: Exceptional ability to translate intricate data findings into clear, concise, and actionable insights that empower stakeholders to make informed decisions for health improvement.
• Bonus: Prior experience contributing to or managing data annotation projects, ensuring data quality, or developing data evaluation systems within a health or research context.