Biotech Health Data Governance Lead

Biotech Health Data Governance Lead (AI Training)

About The Role

What if your deep expertise in biotech data governance could directly shape how AI understands and works with clinical and research data at the frontier of life sciences? 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 submissions, and advanced AI analytics.

This is a fully remote, flexible contract role built for experienced professionals in biotech, life sciences, or regulated data environments who want to make a meaningful impact without sacrificing autonomy.

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

What You'll Do

• Govern biotech research and clinical trial data to ensure accuracy, lineage, and auditability for scientific analysis and regulatory submissions
• Define and enforce data policies covering classification, access controls, security, and metadata standards across research, clinical, regulatory, and partner teams
• Enable secure, governed data access for analytics, innovation, and external collaborations — while protecting confidential and patient‑related information
• Collaborate with scientific, IT, compliance, and business stakeholders to align data standards, workflows, and governance frameworks
• Support data quality initiatives that underpin AI model development and life sciences research

Who You Are

• Experienced in leading or implementing data governance programs in biotech, life sciences, clinical research, or regulated data environments
• Strong grasp of data privacy, security, compliance frameworks, and regulatory expectations for research and clinical trial data
• A natural collaborator who can bridge scientific, technical, and compliance teams to drive alignment
• Detail-oriented and systematic — you understand that trustworthy data is the foundation of great science
• Comfortable working independently in a remote, asynchronous environment

Nice to Have

• Prior experience with data annotation, data quality evaluation, or AI training workflows
• Familiarity with regulatory submission standards (FDA, EMA, ICH, or similar)
• Background in clinical data management, bioinformatics, or health informatics
• Experience designing or auditing metadata frameworks and data lineage systems

Why Join Us

• Work at the intersection of life sciences and cutting‑edge AI alongside leading research organizations
• Fully remote and flexible — structure your work around your life, not the other way around
• Freelance autonomy with the substance of meaningful, high‑impact work
• Contribute to AI and scientific initiatives that have real‑world consequences for human health
• Potential for ongoing work and contract extension as new projects launch