Alignerr
Clinical Business Intelligence Manager
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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 — at a scale that influences real patient outcomes?
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 development. You'll bring deep domain knowledge in clinical and operational data, guiding teams to build the kind of trusted, high-quality BI infrastructure that powers smarter decisions — and smarter AI.
This is a fully remote, flexible contract role. If you've spent your career turning complex healthcare data into meaningful insight, this is your opportunity to do it at a new frontier.
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 data to surface trends, support leadership decisions, and improve care delivery and efficiency
- Translate complex, multi-source healthcare datasets into clear, actionable insights for both technical and non-technical stakeholders
- Uphold data quality standards and governance practices appropriate for regulated healthcare environments
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Who You Are
- Experienced in healthcare or clinical analytics, business intelligence, or healthcare data management
- Proven track record designing and managing BI systems — including dashboards, reporting pipelines, and data models
- Comfortable working with clinical, operational, and administrative datasets in regulated healthcare settings
- Strong communicator who can bridge the gap between raw data and real-world decision-making
- Detail-oriented, self-directed, and reliable when working independently in a remote environment
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Nice to Have
- Prior experience with data annotation, data quality evaluation, or AI training datasets
- Familiarity with how large language models (LLMs) are trained or evaluated
- Background in health informatics, population health, or clinical operations
- Experience with tools such as Tableau, Power BI, dbt, or similar BI 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 substance of meaningful, high-impact work
- Apply deep clinical expertise to a domain — AI — where that knowledge is rare and genuinely valued
- Potential for ongoing work and contract extension as new projects launch
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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