Clinical Business Intelligence Manager
Alignerr
Job Description
Clinical Business Intelligence Manager (AI Training) About The Role What if your expertise in clinical analytics could directly influence how AI understands and interprets healthcare data for millions of patients? We're looking for an experienced Clinical Business Intelligence Manager to lead analytics teams, shape data strategy, and help build AI systems that get healthcare insights right.
This is a fully remote, flexible contract role designed for seasoned healthcare data professionals who know how to turn complex clinical datasets into decisions that matter.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- 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
- Analyze clinical, operational, and performance datasets to uncover meaningful trends and support evidence-based decisions
- Translate complex healthcare data into clear, trusted insights that improve care delivery and organizational efficiency
- Apply your domain knowledge to evaluate and improve how AI systems interpret clinical and operational data
Who You Are
- Experienced in healthcare or clinical analytics, business intelligence, or health data management
- Proven track record designing and managing BI systems — including dashboards, reporting pipelines, and data models
- Comfortable working with clinical, operational, and administrative datasets in regulated healthcare environments
- Strong communicator who can translate technical findings into actionable insights for leadership
- Self-directed and reliable — able to deliver consistently in an asynchronous, remote setting
Nice to Have
- Prior experience with data annotation, data quality assessment, or evaluation systems
- Familiarity with AI tools, large language models, or machine learning workflows
- Background in value-based care, population health, or clinical quality improvement
- Experience with health information systems such as EHRs, claims data, or clinical registries
Why Join Us
- Work on cutting-edge AI projects alongside world-leading research labs
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, high-impact work
- Contribute directly to AI development that could reshape how healthcare decisions are made
- Gain exposure to advanced large language models and how they're trained on specialized domain data
- Potential for ongoing work and contract extension as new projects launch
Interested in this role?
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