Biotech Health Data Governance Lead

What if your expertise in biotech and clinical data could directly shape how the next generation of AI understands life sciences research? 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 data governance professionals in biotech, life sciences, or regulated clinical environments.

• 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
• Evaluate and improve data quality frameworks used to train and validate AI models in life sciences contexts
• Collaborate with scientific, IT, compliance, and business teams to align data standards, workflows, and governance practices

• Experienced in leading or implementing data governance programs in biotech, life sciences, clinical research, or regulated data environments
• Strong understanding of data privacy, security, compliance, and regulatory expectations for research and clinical trial data
• Skilled at working cross-functionally — bridging scientific, technical, and compliance teams with clarity and credibility
• Methodical and detail-oriented with a deep commitment to data integrity and auditability
• Comfortable working independently and asynchronously in a remote, task-based environment

• Prior experience with data annotation, data quality evaluation, or AI training workflows
• Familiarity with regulatory frameworks such as FDA 21 CFR Part 11, ICH E6, or GDPR as applied to clinical data
• Background in clinical data management, bioinformatics, or research informatics
• Experience with metadata management systems or data cataloguing tools

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