Biotech Health Data Governance Lead

About The Role

What if your expertise in biotech data governance could directly shape how AI understands and accelerates scientific discovery? 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 breakthroughs.

This is a fully remote, flexible contract role for an experienced professional who knows how to navigate complex regulated data environments — and who wants their work to matter.

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

• Govern biotech research and clinical trial datasets to ensure accuracy, lineage, and full auditability for scientific analysis and regulatory submissions
• Define and enforce data policies spanning classification, access controls, security, and metadata management across research, clinical, regulatory, and partner teams
• Enable secure, governed data access that supports advanced analytics, innovation, and external collaborations — while rigorously protecting confidential and patient-related information
• Identify gaps in existing data governance frameworks and implement improvements that align with regulatory expectations and scientific best practices
• Collaborate cross-functionally with scientific, IT, compliance, and business stakeholders to align data standards, workflows, and quality controls

• Experienced in leading or implementing data governance programs within biotech, life sciences, clinical research, or regulated data environments
• Deeply knowledgeable about data privacy, security, compliance, and regulatory expectations for research and clinical trial data (e.g., FDA, GCP, HIPAA, 21 CFR Part 11)
• A skilled collaborator who can bring together scientists, engineers, compliance officers, and business teams around shared data standards
• Detail-oriented, systematic, and committed to data quality and integrity
• Comfortable working independently in an asynchronous, remote environment

• Prior experience with data annotation, data quality evaluation, or AI training data pipelines
• Familiarity with data governance frameworks such as DAMA-DMBOK or FAIR data principles
• Experience with clinical data management systems or regulatory submission data packages
• Background in bioinformatics, health informatics, or a related technical discipline

• Work at the intersection of cutting-edge AI and life sciences research — your governance work directly enables better science
• Fully remote and flexible — structure your hours around your life, not the other way around
• Freelance autonomy with meaningful, high-impact work that goes beyond routine contracting
• Exposure to advanced AI models and the data pipelines that make them trustworthy and effective
• Collaborate with world-leading AI research teams and life sciences organizations
• Potential for ongoing engagement and contract extension as projects grow