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 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

What You'll Do

• 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

Who You Are

• 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

Nice to Have

• 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

Why Join Us

• 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