About the Role
What if your expertise in clinical analytics could directly shape how AI understands and interprets healthcare data — at scale, for millions of patients? We're looking for an experienced Clinical Business Intelligence Manager to lead a team building the dashboards, models, and insights that connect complex clinical data to real-world healthcare decisions.
This is a fully remote, flexible contract role. You'll work alongside world-leading AI research teams, bringing your deep domain knowledge to one of the most impactful intersections of healthcare and technology.
- 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 at scale
- Analyze clinical, operational, and performance datasets to surface meaningful trends, support leadership decisions, and improve care delivery
- Translate complex healthcare data into clear, actionable insights for both technical and non-technical stakeholders
- Ensure data quality, governance, and compliance standards are upheld across all BI outputs
- Collaborate with cross-functional teams to align analytics strategy with organizational goals and AI training objectives
Who You Are
- Experienced in healthcare or clinical analytics, business intelligence, or data management — you know how to work with messy, real-world clinical data
- Proven track record designing and managing BI systems, including dashboards, reporting pipelines, and complex 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-making at every level of an organization
- Self-directed and dependable when working independently across distributed, asynchronous teams
Nice to Have
- Prior experience with data annotation, data quality assessment, or AI evaluation workflows
- Familiarity with LLM training pipelines or AI model development processes
- Background in health informatics, population health, or value-based care analytics
- Experience with tools such as Tableau, Power BI, dbt, or similar BI and data transformation platforms
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 life, not the other way around
- Freelance autonomy with the depth and meaning of high-impact, expert-level work
- Direct exposure to advanced LLMs and how frontier AI models are built and trained
- Contribute to work that sits at the frontier of healthcare, data, and artificial intelligence
- Potential for ongoing work and contract extension as new projects launch