Remote Clinical BI Lead for AI Training & Insights

Alignerr Corp.

Adelaide

On-site

AUD 14,000 - 55,000

Full time

19 hours ago
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Job summary

Alignerr is seeking a Clinical BI Manager (AI Training) to lead analytics efforts for healthcare data and guide AI model training. The role is remote and contract-based, with flexible hours across 10–40 per week.

Candidates will build dashboards, optimize data pipelines, and translate complex data into actionable insights to inform AI systems. The ideal candidate brings healthcare analytics, BI leadership, and experience with multi-source data in regulated environments, enabling impactful

Qualifications

  • Seasoned BI professional with healthcare analytics experience.
  • Proven track record building dashboards, reports, and data models.
  • Experience in regulated healthcare environments and translating data into decisions.

Responsibilities

  • Lead and mentor BI teams in dashboards, reports, and analytics that support clinical and operational decisions.
  • Maintain and optimize BI infrastructure—data models, SQL queries, and reporting pipelines for accuracy and performance.
  • Analyze clinical, operational, and performance data to surface trends and support leadership decisions.
  • Translate multi-source healthcare data into clear, actionable insights.
  • Evaluate and improve how AI systems interpret clinical and operational data.
  • Provide expert feedback that influences training of AI models.

Skills

BI leadership
Dashboards & reports
SQL & data modeling
Healthcare analytics

Tools

Power BI
SQL Server

Job description

Alignerr is seeking a Clinical BI Manager (AI Training) to lead analytics efforts for healthcare data and guide AI model training. The role is remote and contract-based, with flexible hours across 10–40 per week.

Candidates will build dashboards, optimize data pipelines, and translate complex data into actionable insights to inform AI systems. The ideal candidate brings healthcare analytics, BI leadership, and experience with multi-source data in regulated environments, enabling impactful

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