Remote Population Health Informatics Specialist

Alignerr Corp.; España; Presencial; EUR 34.000 - 83.000; A tiempo parcial

Ventajas ofrecidas por este puesto de trabajo

Autonomy

Global collaboration

Flexible scheduling

Descripción de la vacante

Alignerr Corp. invites a Population Health Informaticist to join AI training initiatives focused on public health and health equity. This remote, hourly contract role suits self-driven professionals who thrive on independent work and global collaboration.

You will evaluate AI-generated health data, ensure data integrity, and translate insights into clear feedback for model improvement, with flexible scheduling and ongoing engagement opportunities.

Formación

• Experience with healthcare/public health datasets.
• Ability to review data accuracy and data integrity.
• Ability to translate findings into actionable language.

Responsabilidades

• Evaluate and improve AI-generated content related to population health data, analytics, and public health strategy
• Review outputs for accuracy, clinical relevance, and data integrity across population-level datasets
• Identify gaps, errors, or misleading interpretations in health metrics, surveillance data, and epidemiological analysis
• Apply your expertise in health informatics to assess dashboards, data pipelines, and reporting frameworks generated or described by AI
• Translate complex analytical concepts into clear, structured feedback that helps AI models improve
• Work independently and asynchronously on your own schedule

Conocimientos

Data analysis

Data visualization

Healthcare domain knowledge

Critical evaluation

Herramientas

Tableau

Power BI

QGIS

Descripción del empleo

Alignerr Corp. invites a Population Health Informaticist to join AI training initiatives focused on public health and health equity. This remote, hourly contract role suits self-driven professionals who thrive on independent work and global collaboration.

You will evaluate AI-generated health data, ensure data integrity, and translate insights into clear feedback for model improvement, with flexible scheduling and ongoing engagement opportunities.