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 — improving the science that drives real medical breakthroughs?

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 scientific discovery, regulatory filings, and advanced AI-driven analytics. This is a fully remote, flexible contract role built for experienced professionals who want meaningful, high-impact 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 for 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 governance frameworks
• Support data readiness for AI model training and evaluation in life sciences contexts

• Experienced in leading or implementing data governance programs in biotech, life sciences, clinical research, or similarly regulated data environments
• Strong understanding of data privacy, security, compliance, and regulatory expectations for research and clinical trial data
• Skilled at bridging the gap between scientific, technical, and compliance teams — translating complex requirements into clear, actionable standards
• Naturally detail-oriented with a structured, methodical approach to data quality and policy enforcement
• Self-motivated and effective working independently in a remote, asynchronous environment

• Prior experience with data annotation, data quality assurance, or AI evaluation systems
• Familiarity with regulatory frameworks such as FDA, GxP, HIPAA, or ICH guidelines
• Background in clinical data management, biomedical informatics, or health data architecture
• Experience working with external research partners or cross-functional global teams

• Work on cutting-edge AI projects alongside leading research labs and life sciences organizations
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, high-stakes work
• Gain direct exposure to how high-quality governed data enables better AI and better science
• Contribute to initiatives that sit at the intersection of life sciences and next-generation AI
• Potential for ongoing work and contract extension as new projects launch