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Clinical Business Intelligence Manager
Job in
Oxford, Oxfordshire, OX1, England, UK
Listed on 2026-10-25
Listing for:
Alignerr Corp.
Full Time
position Listed on 2026-10-25
Job specializations:
-
IT/Tech
Data Analyst
Job Description & How to Apply Below
About
The Role
What if your expertise in clinical analytics could directly shape how AI understands and interprets healthcare data at scale? We're looking for an experienced Clinical Business Intelligence Manager to lead analytics efforts that connect clinical, operational, and performance data to real-world healthcare decisions — and help train the next generation of AI models in the process.
- 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
- Analyze clinical, operational, and performance data to surface trends, support leadership decisions, and drive measurable improvements in care delivery and efficiency
- Translate complex healthcare datasets into trusted, actionable insights for both technical and non-technical stakeholders
- Apply your domain expertise to help evaluate and improve AI-generated outputs related to clinical analytics and healthcare data
- Experienced in healthcare or clinical analytics, business intelligence, or 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 bridge the gap between data and decision-makers
- Self-directed and reliable when working independently in a remote, asynchronous environment
- Prior experience with data annotation, data quality evaluation, or AI training workflows
- Familiarity with EHR systems, healthcare interoperability standards, or clinical data warehouses
- Background working with HL7, FHIR, or other healthcare data standards
- Experience with tools such as Tableau, Power BI, Looker, or similar BI platforms
- Work on cutting-edge AI projects alongside world-leading research labs
- Fully remote and flexible — structure your hours around your life
- Freelance autonomy with the depth and meaning of serious, high-skill work
- Contribute directly to AI systems that will shape the future of healthcare analytics
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