Alignerr
Precision Medicine Data Lead

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Precision Medicine Data Lead (AI Training)
About The Role
What if your expertise in genomic and clinical data could directly shape how AI understands and advances personalized medicine for millions of patients? We're looking for a Precision Medicine Data Lead to guide how complex healthcare datasets are integrated, governed, and transformed into the insights that power next-generation AI models in clinical research and personalized treatment.
This is a fully remote, flexible contract role built for experienced data professionals in genomics, life sciences, or clinical analytics who want to work on something that genuinely matters.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
- Design, oversee, and optimize data pipelines that integrate genomics, clinical records, biomarkers, and other healthcare data into unified analytics platforms
- Lead analytical strategies that convert complex, multi-source datasets into actionable insights for clinical decision support and precision medicine initiatives
- Evaluate and validate the quality, accuracy, and integrity of healthcare and genomic data used in AI training workflows
- Collaborate with clinicians, researchers, and technical teams to ensure data governance and regulatory compliance
- Translate findings and data strategies clearly for both scientific and non-technical stakeholders
- Identify gaps, inconsistencies, and opportunities for improvement across integrated healthcare datasets
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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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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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 large-scale healthcare, genomic, or life sciences datasets in analytics or data leadership roles
- Strong background in data integration, data governance, and translating complex data into meaningful insights for scientific or clinical audiences
- Comfortable working cross-functionally with clinical, research, and engineering teams in regulated or highly technical environments
- Detail-oriented and systematic — you hold data to a high standard and know how to communicate why it matters
- Self-motivated and reliable when working independently in an asynchronous, remote environment


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Nice to Have
- Prior experience with data annotation, data quality evaluation, or AI training data workflows
- Familiarity with bioinformatics pipelines, EHR systems, or clinical trial data structures
- Background in translational research, computational biology, or clinical informatics
- Experience working in regulated environments such as HIPAA-compliant or GxP settings
Why Join Us
- Work on cutting-edge AI projects alongside world-leading research labs
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, high-impact work
- Contribute directly to AI systems that could reshape how medicine is practiced worldwide
- Exposure to advanced large language models and how they are trained on specialized scientific data
- Potential for ongoing work and contract extension as new projects launch
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