Alignerr
Clinical Business Intelligence Manager
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Clinical Business Intelligence Manager (AI Training)
About The Role
What if your deep 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 BI teams, design high-impact analytics systems, and help translate complex healthcare data into trusted insights — all while contributing to the development of cutting-edge AI models.
This is a fully remote, flexible contract role built for senior healthcare data professionals who want meaningful work on their own terms.
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 data to surface meaningful trends and support leadership decisions
- Translate complex, multi-source healthcare datasets into clear, actionable insights that improve care delivery and organizational efficiency
- Apply domain expertise to evaluate, validate, and improve the quality of healthcare-related data outputs in AI training contexts
- Collaborate asynchronously with a global team of experts and researchers
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Who You Are
- Experienced in healthcare or clinical analytics, business intelligence, or health data management
- Proven ability to design, build, and manage BI systems — dashboards, reporting pipelines, and data models
- Comfortable working with clinical, operational, and administrative datasets in regulated healthcare environments
- Strong SQL skills and hands-on experience with industry-standard BI and reporting tools
- A natural leader who can guide technical teams while communicating insights clearly to non-technical stakeholders
- Detail-oriented, self-directed, and confident working independently without close supervision
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Nice to Have
- Prior experience with data annotation, data quality assessment, or AI evaluation systems
- Familiarity with EHR systems, claims data, or population health platforms
- Background in health informatics, clinical data science, or outcomes research
- Experience working with or evaluating AI-generated healthcare content
Why Join Us
- Work on cutting-edge AI projects alongside world-leading research labs and AI teams
- Fully remote and flexible — structure your hours around your life, not the other way around
- Freelance autonomy with the substance of genuinely high-impact, expert-level work
- Contribute to AI development that could reshape how healthcare data is understood and applied at scale
- Potential for ongoing work and contract extension as new projects launch
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Jessica, London
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