Clinical Business Intelligence Manager
Role Overview
Alignerr is seeking an experienced Clinical Business Intelligence Manager to shape AI understanding of healthcare data.
The role combines healthcare analytics leadership with artificial intelligence training and evaluation work.
This is a fully remote, flexible contract role for seasoned healthcare analytics professionals.
Key Skills for This Role
Full Job Posting
About the role
Alignerr is seeking an experienced Clinical Business Intelligence Manager to shape AI understanding of healthcare data.
The role combines healthcare analytics leadership with artificial intelligence training and evaluation work.
This is a fully remote, flexible contract role for seasoned healthcare analytics professionals.
Engagement details
- The engagement is an hourly contract.
- The expected commitment is 10 to 40 hours per week.
What you'll do
- Lead and mentor a business intelligence team delivering dashboards, reports, and analytics for clinical and operational decisions.
- Maintain and optimize BI infrastructure, including data models, SQL queries, and reporting pipelines.
- Analyze clinical, operational, and performance datasets to identify trends and recommend actions to leadership.
- Translate complex healthcare data into decisions that improve care delivery and organizational efficiency.
- Collaborate with AI research teams on clinical applications for model training and evaluation projects.
Who you are
- You have healthcare or clinical analytics experience and a track record in business intelligence or data management.
- You can design and manage end-to-end BI systems, including dashboards, reporting pipelines, and data models.
- You are comfortable working with clinical, operational, and administrative datasets in regulated healthcare environments.
- You communicate complex data findings clearly to non-technical stakeholders.
- You are self-directed and reliable when working independently.
Nice to have
- Experience with data annotation, data quality assurance, or evaluation systems is advantageous.
- Familiarity with AI or machine learning workflows involving structured healthcare data is advantageous.
- Background in EMR or EHR systems, claims data, or population health analytics is advantageous.
- Experience in value-based care, clinical quality reporting, or regulatory compliance analytics is advantageous.
Why join
- Work on AI projects alongside leading research labs.
- Work remotely with flexible scheduling and potential for ongoing contract extensions.
- Apply clinical domain knowledge to consequential technology development.
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