Clinical Business Intelligence Manager

Alignerr Corp.

Cambridge

Remote

GBP 83,000 - 152,000

Full time

5 hours ago
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Job summary

Alignerr is seeking a Clinical BI Manager to lead analytics connecting clinical, operational, and performance data for AI training. This remote contract role focuses on dashboards, data models, and AI-related data processing to inform leadership decisions.

You will mentor a BI team, translate complex healthcare data into clear insights, and contribute to AI evaluation workflows in regulated environments. Flexible hours and meaningful, expert-level work on offer.

Qualifications

  • Experience in BI/analytics for healthcare.
  • Ability to design end-to-end BI systems.
  • Strong communication of complex data.

Responsibilities

  • Lead BI team to build dashboards and analytics for clinical/operational decisions.
  • Design and maintain BI infrastructure including data models and reporting pipelines.
  • Analyze datasets to surface insights informing leadership decisions.
  • Translate healthcare data into actionable intelligence for better care delivery.
  • Apply domain expertise to AI training tasks in clinical contexts.

Skills

Business Intelligence
Healthcare Analytics
Data Modeling
Executive Reporting
SQL

Tools

SQL
BI Tools
Data Warehousing

Job description

Clinical Business Intelligence Manager (AI Training)

What if your expertise in clinical analytics could directly influence how AI understands and reasons about healthcare data? 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.

This is a fully remote, flexible contract role built for seasoned healthcare analytics professionals who want to do meaningful, intellectually stimulating 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 building dashboards, reports, and analytics that support clinical and operational decision-making
  • Design, 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 surface insights that inform leadership decisions
  • Translate complex healthcare data into clear, actionable intelligence that improves care delivery and organizational efficiency
  • Apply your domain expertise to AI training tasks - evaluating, annotating, and improving AI-generated outputs in clinical and healthcare contexts
Who You Are
  • Experienced healthcare or clinical analytics professional with a strong track record in BI, data management, or health informatics
  • Proven ability to design and manage end-to-end BI systems - from data modeling and pipeline architecture to dashboards and executive reporting
  • Comfortable working with clinical, operational, and administrative datasets in regulated healthcare environments
  • Strong communicator who can translate complex data findings for both technical and non-technical audiences
  • Self-directed and reliable - you deliver quality work without needing constant oversight
Nice to Have
  • Prior experience with data annotation, data quality evaluation, or AI training workflows
  • Familiarity with EHR systems, healthcare interoperability standards (HL7, FHIR), or clinical data warehouses
  • Background in population health, value-based care, or healthcare performance management
  • Experience working with large language models or AI evaluation tools
Why Join Us
  • Work on cutting-edge AI projects alongside world-leading research labs
  • Fully remote and flexible - structure your hours around your life, not the other way around
  • Freelance autonomy with the substance of meaningful, expert-level work
  • Gain firsthand exposure to how advanced AI models are trained and evaluated
  • Contribute domain expertise that shapes how AI reasons about healthcare - at scale
  • Potential for ongoing work and contract extension as new projects launch
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