Precision Medicine Data Lead
The role involves designing and optimizing data pipelines that integrate genomic and clinical data into unified analytics platforms. The lead will also guide AI systems in reasoning about healthcare data to provide actionable insights for precision medicine.
- Remote
- Edmonton, Alberta, Canada
- Posted Aug 4, 2026
- Apply by Sep 3, 2026
- 1 position
Job summary
Precision Medicine Data Lead (AI Training) About The Role What if your expertise in genomics and clinical data could directly shape how AI understands human health — and ultimately help power the next generation of personalized medicine? We're looking for a Precision Medicine Data Lead to guide how complex healthcare and genomic data is integrated, governed, and transformed into actionable insights. You'll work alongside world-leading AI research teams, bringing your deep domain knowledge to bear on one of the most consequential frontiers in modern science. This is a fully remote, flexible contract role built for experienced professionals in healthcare data, genomics, or life sciences analytics. 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 clinical decision support, precision medicine initiatives, and advanced research Collaborate with clinicians, researchers, and technical teams to ensure data quality, regulatory compliance, and strategic alignment Clearly communicate findings and recommendations to both scientific and non-technical stakeholders Apply your domain expertise to evaluate and improve how AI systems reason about healthcare and genomic data 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 Able to work cross-functionally with clinical, research, and engineering teams in regulated or highly technical environments Detail-oriented, methodical, and confident communicating complex ideas clearly Nice to Have Prior experience with data annotation, data quality assessment, or evaluation systems Familiarity with AI tools or machine learning workflows in healthcare contexts Background in bioinformatics, clinical informatics, or translational research Experience working within HIPAA-compliant or similarly regulated data environments 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 how AI understands and advances precision medicine Potential for ongoing work and contract extension as new projects launch
What you’ll do
The role involves designing and optimizing data pipelines that integrate genomic and clinical data into unified analytics platforms. The lead will also guide AI systems in reasoning about healthcare data to provide actionable insights for precision medicine.
Requirements
Candidates must have extensive experience leading analytics for large-scale healthcare or life sciences datasets and strong data governance skills. Proficiency in working within regulated environments and communicating complex scientific ideas to diverse stakeholders is required.
Benefits
• Remote and flexible work • Freelance autonomy • Potential for contract extension
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Genomics Data Integration
- Clinical Data Analysis
- Data Governance
- AI Training
- Data Pipeline Design
- Precision Medicine
- Bioinformatics
- Clinical Informatics
- Translational Research
- HIPAA Compliance
- Data Annotation
- Machine Learning Workflows
- Cross-functional Collaboration
- Strategic Alignment
- Data Quality Assessment
Job areas
- Data & Analytics
- Healthcare
- Science & Research
- Technology
- Management & Leadership
Additional details
- Minimum education
- Master’s degree
- Minimum experience
- 5+ years
- Apply by
- Sep 3, 2026
- Posting language
- English
- Working hours
- 40 hours per week
- Location requirements
- Country, Edmonton, Alberta, Canada
- Seniority
- Mid-Senior level
