Precision Medicine Data Lead

Alignerr

Cambridge

À distance

GBP 83 000 - 165 000

Temps partiel

Il y a 45 heures
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Résumé du poste

Alignerr is seeking a Precision Medicine Data Lead to steer integration and governance of genomics and clinical data for AI training and clinical research initiatives. The role is a fully remote hourly contract, offering 10–40 hours per week and collaboration with clinicians, researchers, and engineers.

You will design robust data pipelines, validate data quality, and drive governance in regulated environments to ensure reliable, actionable insights that advance personalized medicine.

Qualifications

  • Experience leading analytics on large-scale healthcare/genomics datasets.
  • Ability to translate complex data into actionable scientific/clinical insights.
  • Familiarity with data governance and regulatory compliance in healthcare.

Responsabilités

  • Design, oversee, and optimize data pipelines integrating genomics, clinical records, and biomarkers into unified analytics platforms.
  • Lead analytical strategies to convert multi-source datasets into actionable insights for clinical decision support and precision medicine.
  • Evaluate and validate 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 clearly for scientific and non-technical stakeholders.
  • Identify gaps and opportunities for data improvement across integrated datasets.

Connaissances

Data leadership
Healthcare data
Genomics
Data governance
Cross-functional collaboration

Outils

Data pipelines
EHR systems

Description du poste

Precision Medicine Data Lead (AI Training)

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.

About The Role
  • 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
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
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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