Biotech Health Data Governance Lead

Biotech Health Data Governance Lead (AI & Life Sciences)

What if your expertise in biotech data governance could directly shape how AI understands clinical research, regulatory submissions, and scientific discovery? We're looking for a Biotech Health Data Governance Lead to ensure that the research and clinical trial data powering next-generation AI models is accurate, traceable, compliant, and trustworthy.

This is a fully remote, flexible contract role for an experienced professional who knows how to navigate the complex intersection of life sciences, data policy, and regulatory compliance.

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

• Lead governance of biotech research and clinical trial data — ensuring accuracy, full data lineage, and auditability for scientific analysis and regulatory submissions
• Define, implement, and enforce data policies covering classification, access controls, security standards, and metadata management across research, clinical, regulatory, and partner teams
• Enable secure, governed data access for analytics, AI development, and external collaborations — while rigorously protecting confidential and patient-related information
• Partner with scientific, IT, compliance, and business stakeholders to align data standards, workflows, and governance frameworks
• Identify and close gaps in data quality and compliance posture across the research data lifecycle
• Support regulatory readiness by ensuring data assets meet the traceability and documentation requirements of regulatory bodies

• Experienced in leading or implementing data governance programs within biotech, life sciences, clinical research, or other regulated data environments
• Deeply familiar with data privacy, security, and compliance requirements specific to research and clinical trial data
• Skilled at translating complex regulatory and governance requirements into practical, workable policies
• A natural collaborator who can align cross-functional teams — scientists, IT professionals, compliance officers, and business partners — around shared data standards
• Detail-oriented, systematic, and comfortable operating with a high degree of autonomy in a remote environment

• Prior experience with data annotation, data quality evaluation, or AI training data systems
• Familiarity with frameworks such as FAIR data principles, 21 CFR Part 11, GDPR, HIPAA, or ICH E6 Good Clinical Practice
• Experience working with structured and unstructured clinical or scientific datasets
• Background in regulatory affairs, clinical data management, or research informatics

• Work at the intersection of life sciences and cutting-edge AI — your governance work directly enables better science and smarter models
• Fully remote and flexible — structure your hours around your life, not the other way around
• Freelance autonomy with the substance of genuinely impactful, high-stakes work
• Collaborate with world-leading AI research teams and life sciences organizations on projects that matter
• Potential for ongoing work and contract extension as new projects launch