Biotech Health Data Governance Lead

About the role

Biotech Health Data Governance Lead (AI Training) – fully remote, flexible contract role (10–40 hours/week) with Alignerr, hourly contract.

Responsibilities

• 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

Requirements

• 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

Benefits

• 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