Alignerr
Population Health Informaticist

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Population Health Informaticist (AI Training)
About The Role
We're partnering with the world's leading AI research teams to build smarter, more accurate AI systems in the health and public health space. As a Population Health Informaticist, you'll bring your expertise in health data and analytics to help shape how AI understands, interprets, and communicates population-level health insights.
This is a meaningful opportunity to apply your skills at the intersection of public health and cutting-edge AI — fully remote, on a flexible schedule that works for you.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
- Collect, integrate, and evaluate population health datasets to identify trends, disparities, and opportunities for improved health outcomes
- Design and assess dashboards, data pipelines, and reporting frameworks that support monitoring and decision-making for population health initiatives
- Review and evaluate AI-generated health analytics outputs for accuracy, relevance, and clinical validity
- Translate complex data insights into clear, actionable findings and feedback
- Provide structured evaluations that help AI systems better understand population health concepts, terminology, and methodology
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.
See breakdownIt searches the market for you
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 working with healthcare, public health, or population-level datasets
- Skilled in data analysis and visualization, with hands-on experience using dashboards and reporting tools
- Able to identify nuance, errors, or gaps in health data outputs and communicate findings clearly
- Comfortable working independently and asynchronously on task-based projects
- Detail-oriented with a commitment to accuracy and data quality


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Nice to Have
- Experience in epidemiology, biostatistics, or public health informatics
- Familiarity with data annotation, data quality assurance, or evaluation workflows
- Background working with EHR systems, claims data, or surveillance databases
- Prior exposure to AI or machine learning projects in a health context
Why Join Us
- Work on cutting-edge AI projects alongside top research labs and teams
- Fully remote and flexible — set your own schedule and work when it suits you
- Freelance perks: autonomy, variety, and global collaboration
- Contribute to meaningful work that shapes how AI handles population health — with real-world implications
- Potential for ongoing work and contract extension
“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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