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Precision Medicine Data Lead

  • Vancouver, British Columbia, Canada
  • Remote
  • Posted Oct 7, 2026
  • 1 position

US$40–US$80 / hour

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Employment type
Contract
Experience level
Senior · 5+ years
Apply by
Nov 4, 2026
Posting language
English
Working hours
40 hours per week
Location requirements
Country, Vancouver, British Columbia, Canada
Seniority
Mid-Senior level

Job summary

Lead the integration, governance, and optimization of genomic, clinical, biomarker, and other healthcare data pipelines, and develop analytical strategies that support precision medicine and clinical decision-making. Collaborate with clinical, research, and technical teams to ensure data quality and compliance, communicate findings to stakeholders, and evaluate and improve AI-generated outputs.

Job details

Precision Medicine Data Lead (AI Training) About The Role What if your expertise in genomics and clinical data could directly shape how AI understands and advances personalized medicine for millions of patients worldwide? We're looking for a Precision Medicine Data Lead to guide how complex healthcare and genomic datasets are integrated, governed, and transformed into insights that power the next generation of AI-driven clinical research. This is a fully remote, flexible contract role built for experienced healthcare data professionals who want to work at the intersection of life sciences and cutting-edge AI. 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, integrated datasets into actionable insights for precision medicine initiatives and clinical decision support Collaborate with clinicians, researchers, and technical teams to ensure data quality, regulatory compliance, and strategic alignment Translate sophisticated data findings into clear, meaningful narratives for scientific and clinical stakeholders Apply your domain expertise to evaluate, annotate, and improve AI-generated outputs in healthcare and life sciences contexts 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 Skilled at working cross-functionally with clinical, research, and engineering teams in regulated or highly technical environments Detail-oriented, methodical, and comfortable operating independently in a remote, asynchronous workflow Nice to Have Prior experience with data annotation, data quality assessment, or AI evaluation systems Familiarity with bioinformatics tools, EHR platforms, or clinical data standards (HL7, FHIR, etc.) Background in translational research, clinical trials, or population health analytics Experience working with or evaluating large language models (LLMs) in scientific domains 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 Apply deep domain expertise to problems at the frontier of AI and precision medicine Potential for ongoing work and contract extension as new projects launch

What you’ll do

Lead the integration, governance, and optimization of genomic, clinical, biomarker, and other healthcare data pipelines, and develop analytical strategies that support precision medicine and clinical decision-making. Collaborate with clinical, research, and technical teams to ensure data quality and compliance, communicate findings to stakeholders, and evaluate and improve AI-generated outputs.

Requirements

Candidates should have experience working with large-scale healthcare, genomic, or life sciences datasets, along with strong skills in data integration, governance, and communicating complex findings. They should be comfortable collaborating across clinical, research, and engineering teams in regulated or technical environments and working independently in a remote setting; experience with annotation, bioinformatics, clinical data standards, research, or LLM evaluation is an advantage.

Benefits

  • Fully Remote Work
  • Flexible Schedule
  • Freelance Autonomy
  • High-Impact Work
  • Potential for Ongoing Work and Contract Extension

Listed skills

  • Regulatory Compliance · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • Healthcare Data Analytics
  • Genomics Data
  • Data Integration
  • Data Governance
  • Data Pipeline Design
  • Data Quality Assessment
  • Precision Medicine
  • Clinical Decision Support
  • Regulatory Compliance
  • Bioinformatics
  • Electronic Health Records
  • HL7
  • FHIR
  • Clinical Research
  • Data Annotation
  • Large Language Model Evaluation

Job areas

  • Data & Analytics
  • Healthcare
  • Technology
  • Science & Research
  • Management & Leadership

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