Live opening · Posted 1 day ago
At a glance
The key details from the original listing.
About the role
Description supplied by the original job listing.
About The Role
What if your expertise in clinical analytics could directly influence how AI understands and interprets healthcare data for millions of patients and providers worldwide? We're looking for an experienced Clinical Business Intelligence Manager to lead BI teams, shape data-driven insights, and help train cutting-edge AI models that will define the future of healthcare intelligence.
This is a fully remote, flexible contract role built for seasoned healthcare analytics professionals who want to apply their skills at the frontier of AI development.
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 pipelines that support clinical and operational decision-making
Maintain and optimize BI infrastructure — including data models, SQL queries, and reporting tools — ensuring accuracy, reliability, and performance
Analyze clinical, operational, and performance datasets to uncover actionable trends and support leadership decisions
Translate complex healthcare data into clear, trusted insights that drive improvements in care delivery and organizational efficiency
Apply your clinical domain knowledge to evaluate and improve AI-generated outputs related to healthcare analytics and BI workflows
Collaborate asynchronously with a global team of subject matter experts and AI researchers
Who You Are
Experienced in healthcare or clinical analytics, business intelligence, or data management in regulated environments
Proven ability to design, manage, and scale BI systems — including dashboards, reporting pipelines, and data models
Comfortable working with clinical, operational, and administrative datasets
Strong communicator who can translate technical findings into actionable insights for non-technical stakeholders
Self-directed and reliable when working independently across distributed teams
Nice to Have
Prior experience with data annotation, data quality evaluation, or AI training workflows
Familiarity with EHR systems, claims data, or population health platforms
Background in health informatics, clinical operations, or healthcare IT
Experience working alongside AI or machine learning teams
Why Join Us
Work on cutting-edge AI projects alongside leading research labs and AI teams
Fully remote and flexible — work when and where it suits you
Freelance autonomy with the structure of meaningful, high-impact work
Gain direct exposure to advanced LLMs and how they're trained on domain-specific healthcare knowledge
Be part of a global community of experts shaping the next generation of clinical AI
Potential for ongoing work and contract extension as new projects launch
Work arrangement
Yes
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