Precision Medicine Data Lead

Job summary

Lead the integration, governance, and optimization of genomic, clinical, biomarker, and other healthcare data pipelines, and develop analytical strategies that turn complex datasets into actionable insights for research and precision medicine. Collaborate with clinical, research, and technical teams to ensure data quality and regulatory compliance, communicate findings to varied audiences, and evaluate how AI systems reason about healthcare data.

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 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

Lead the integration, governance, and optimization of genomic, clinical, biomarker, and other healthcare data pipelines, and develop analytical strategies that turn complex datasets into actionable insights for research and precision medicine. Collaborate with clinical, research, and technical teams to ensure data quality and regulatory compliance, communicate findings to varied audiences, and evaluate how AI systems reason about healthcare data.

Requirements

Candidates should have substantial experience working with large-scale healthcare, genomic, or life sciences datasets, along with expertise in data integration, governance, and translating complex data into useful insights. They should be detail-oriented communicators who can work across clinical, research, and engineering teams; experience with AI workflows, data annotation, bioinformatics, clinical informatics, or regulated data environments 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
• Cross-Functional Collaboration · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Healthcare Data Analytics
• Genomics
• Data Integration
• Data Governance
• Data Pipeline Design
• Clinical Data
• Biomarker Data
• Data Quality
• Regulatory Compliance
• Precision Medicine
• Clinical Decision Support
• Stakeholder Communication
• Cross-Functional Collaboration
• Data Annotation
• Bioinformatics
• Clinical Informatics

Job areas

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

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