Biotech Health Data Governance Lead

Biotech Health Data Governance Lead

What if your expertise in biotech data governance could directly shape how AI understands and works with clinical and research data — accelerating scientific discovery for millions of people worldwide? We're looking for a Biotech Health Data Governance Lead to ensure that research and clinical trial data is accurate, traceable, compliant, and ready to power the next generation of AI-driven life sciences innovation.

This is a fully remote, flexible contract role built for experienced professionals in biotech, life sciences, or regulated data environments who want meaningful work on their own terms.

• Organization:
  Alignerr
• Type:
  Hourly Contract
• Location:
  
  Remote
• Commitment: 10–40 hours/week

• Govern biotech research and clinical trial data to ensure accuracy, lineage, and auditability for scientific analysis and regulatory submissions
• Define and enforce data policies covering classification, access, security, and metadata across research, clinical, regulatory, and partner teams
• Enable secure, governed access to data for analytics, innovation, and external collaborations — while protecting confidential and patient-related information
• Collaborate across scientific, IT, compliance, and business teams to align data standards, workflows, and best practices
• Support AI training initiatives by ensuring data used in model development meets rigorous quality and compliance standards

• Experienced in leading or implementing data governance programs within biotech, life sciences, clinical research, or other regulated data environments
• Deeply knowledgeable in data privacy, security, compliance frameworks, and regulatory expectations for research and clinical trial data
• A natural collaborator — able to bridge scientific, technical, and business stakeholders around shared data standards
• Detail-oriented and systematic, with the ability to manage complex data ecosystems and maintain audit-ready documentation
• Self-directed and comfortable working independently in a remote, asynchronous environment

• Prior experience with data annotation, data quality assurance, or AI evaluation systems
• Familiarity with regulatory submission requirements (FDA, EMA, ICH guidelines)
• Background in clinical data management, biostatistics, or bioinformatics
• Experience working within cross-functional or globally distributed teams

• Work at the intersection of cutting-edge AI and life sciences research alongside leading AI research teams
• Fully remote and flexible — structure your hours around your life, not the other way around
• Freelance autonomy with the substance of high-impact, mission-driven work
• Contribute to AI and scientific initiatives that have real-world consequences for human health
• Potential for ongoing work and contract extension as projects evolve and expand