Biotech Health Data Governance Lead

Biotech Health Data Governance Lead (AI Training)
About The Role
What if your expertise in biotech data governance could directly shape how AI understands and operates within one of the world's most consequential industries? 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 know what it takes to govern sensitive data in regulated life sciences environments.
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 full 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 rigorously protecting confidential and patient-related information
Identify gaps in existing data governance frameworks and lead initiatives to close them
Collaborate cross-functionally with scientific, IT, compliance, and business stakeholders to align data standards and workflows
Who You Are
Experienced in leading or implementing data governance programs within biotech, life sciences, clinical research, or other regulated data environments
Deep understanding of data privacy, security, compliance, and regulatory expectations as they apply to research and clinical trial data
Skilled at working across scientific, IT, compliance, and business teams to drive alignment on data standards and processes
Detail-oriented, systematic, and comfortable operating in complex, high-stakes data environments
Self-directed and reliable when working independently in a remote, asynchronous setting
Nice to Have
Prior experience with data annotation, data quality evaluation, or AI training data systems
Familiarity with regulatory frameworks such as FDA 21 CFR Part 11, ICH E6 GCP, or GDPR as applied to clinical and research data
Background in bioinformatics, clinical data management, or research informatics
Experience working with or evaluating AI-generated outputs in a scientific or regulated context
Why Join Us
Work at the intersection of life sciences and cutting-edge AI with 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
Direct contribution to AI initiatives that are advancing how science is conducted and how discoveries are made
Potential for ongoing work and contract extension as new projects launch

Work arrangement
Yes