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 scale? We're looking for an experienced Clinical Business Intelligence Manager to lead analytics efforts that connect clinical, operational, and performance data to real-world healthcare decisions — and help train the next generation of AI models in the process.
This is a fully remote, flexible contract role built for senior healthcare analytics professionals who want meaningful, high-impact work on their own terms.
- 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
- Analyze clinical, operational, and performance data to surface trends, support leadership decisions, and drive measurable improvements in care delivery and efficiency
- Translate complex healthcare datasets into trusted, actionable insights for both technical and non-technical stakeholders
- Apply your domain expertise to help evaluate and improve AI-generated outputs related to clinical analytics and healthcare data
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Who You Are
- Experienced in healthcare or clinical analytics, business intelligence, or 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 environments
- Strong communicator who can bridge the gap between data and decision-makers
- Self-directed and reliable when working independently in a remote, asynchronous environment


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Nice to Have
- Prior experience with data annotation, data quality evaluation, or AI training workflows
- Familiarity with EHR systems, healthcare interoperability standards, or clinical data warehouses
- Background working with HL7, FHIR, or other healthcare data standards
- Experience with tools such as Tableau, Power BI, Looker, or similar BI platforms
Why Join Us
- Work on cutting-edge AI projects alongside world-leading research labs
- Fully remote and flexible — structure your hours around your life
- Freelance autonomy with the depth and meaning of serious, high-skill work
- Contribute directly to AI systems that will shape the future of healthcare analytics
- Potential for ongoing work and contract extension as new projects launch
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