Full-time
Posted 6 days ago
Job description
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
- 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
- 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
- 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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Frequently asked questions
Q: What skills or qualities help someone succeed as a Epidemiologist?
A: To succeed as an Epidemiologist, key technical skills include proficiency in statistical analysis, data interpretation, and programming languages such as R or Python, as well as knowledge of epidemiological study designs and biostatistics. Soft skills like strong communication, collaboration, and problem-solving abilities are also crucial, as Epidemiologists often work with diverse stakeholders, including healthcare professionals, policymakers, and the general public. By combining technical expertise with effective communication and collaboration skills, Epidemiologists can effectively investigate and address public health issues, driving informed decision-making and promoting population health.
Q: What is the career path for a Epidemiologist?
A: A typical career progression for an Epidemiologist involves starting as a Research Assistant or Epidemiology Analyst, where they collect and analyze data to identify disease patterns and trends. As they gain experience, they can move into mid-level roles such as Senior Epidemiologist or Disease Surveillance Specialist, where they lead research projects, develop public health policies, and collaborate with healthcare professionals. Ultimately, senior Epidemiologists can assume leadership positions like Director of Epidemiology or Chief Public Health Officer, overseeing large-scale research initiatives, developing strategic plans, and advising government agencies or healthcare organizations on disease prevention and control.
