Clinical Business Intelligence Manager

Clinical Business Intelligence Manager (AI Training) About The Role What if your expertise in clinical analytics could directly shape how AI understands and interprets healthcare data — influencing systems that will support real-world medical decisions at scale?

We're looking for an experienced Clinical Business Intelligence Manager to lead analytics work that sits at the intersection of healthcare and cutting-edge AI. You'll guide BI teams in transforming complex clinical and operational data into trusted, actionable insights — and your domain knowledge will help ensure the AI models we train actually reflect how healthcare works in practice.

This is a fully remote, flexible contract role. If you have deep experience in clinical analytics and a passion for making data meaningful, this is your opportunity to do that work at the frontier of AI.

• 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
• 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 surface meaningful trends and support leadership decisions
• Translate complex healthcare data into clear, trusted insights that connect directly to patient outcomes and organizational efficiency
• Apply your healthcare domain expertise to AI training projects, helping ensure data outputs reflect real-world clinical accuracy

Who You Are

• Experienced in healthcare or clinical analytics, business intelligence, or data management within regulated environments
• Proven ability to design, build, and manage BI systems — including dashboards, reporting pipelines, and data models
• Comfortable working with clinical, operational, and administrative datasets at scale
• A clear communicator who can translate technical findings for non-technical stakeholders
• Self-directed and reliable when working independently in a remote, asynchronous environment

Nice to Have

• Prior experience with data annotation, data quality evaluation, or AI training workflows
• Familiarity with EHR systems, clinical coding, or healthcare interoperability standards
• Background in population health analytics, quality metrics, or value-based care reporting
• Experience working with LLMs or AI research teams in a data or evaluation capacity

Why Join Us

• Work on cutting-edge AI projects alongside leading research labs and AI teams
• Fully remote and flexible — structure your work around your schedule
• Freelance autonomy with the depth and meaning of high-stakes, real-world healthcare data work
• Gain rare exposure to how advanced AI models are trained on complex clinical domains
• Potential for ongoing work and contract extension as new projects launch