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
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