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IT/Tech
Data Analyst
Job Description & How to Apply Below
What if your expertise in clinical analytics could directly shape how AI understands and interprets healthcare data for millions of patients? We're looking for an experienced Clinical Business Intelligence Manager to lead analytics strategy at the intersection of healthcare and artificial intelligence — transforming complex clinical and operational data into insights that matter.
This is a fully remote, flexible contract role designed for seasoned healthcare analytics professionals who thrive on turning raw data into trusted intelligence.
- Organization:
Alignerr - Type:
Hourly Contract - Location:
Remote - Commitment: 10–40 hours/week
- Lead and mentor a business intelligence team in designing and delivering dashboards, reports, and analytics that support clinical and operational decision-making
- Maintain and optimize BI infrastructure — including data models, SQL queries, and reporting pipelines — ensuring accuracy, reliability, and performance at scale
- Analyze clinical, operational, and performance datasets to uncover meaningful trends and translate them into actionable recommendations for leadership
- Bridge the gap between complex healthcare data and real-world decisions that improve care delivery and organizational efficiency
- Collaborate with AI research teams to apply clinical domain expertise to cutting-edge model training and evaluation projects
- Experienced healthcare or clinical analytics professional with a proven track record in business intelligence or data management
- Skilled at designing and managing end-to-end BI systems, including dashboards, reporting pipelines, and data models
- Comfortable working with clinical, operational, and administrative datasets in regulated healthcare environments
- A clear communicator who can translate complex data findings into compelling narratives for non-technical stakeholders
- Self-directed and reliable — you deliver quality work independently without constant oversight
- Prior experience with data annotation, data quality assurance, or evaluation systems
- Familiarity with AI or machine learning workflows as they relate to structured healthcare data
- Background in EMR/EHR systems, claims data, or population health analytics
- Experience in value-based care, clinical quality reporting, or regulatory compliance analytics
- Work on cutting-edge AI projects alongside world-leading research labs
- Fully remote and flexible — structure your work around your life, not the other way around
- Freelance autonomy with the depth and purpose of meaningful, expert-level work
- Apply your clinical domain knowledge to one of the most consequential technology shifts of our time
- Potential for ongoing work and contract extension as new projects launch
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