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 works with clinical and life sciences data? 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 how to bring order, integrity, and trust to complex biotech data 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 auditability across scientific analysis and regulatory submissions
• Define and enforce data policies covering classification, access controls, security protocols, and metadata standards across research, clinical, regulatory, and partner teams
• Enable secure, governed access to data for analytics, AI model development, and external collaborations — while protecting confidential and patient-sensitive information
• Collaborate with scientific, IT, compliance, and business stakeholders to align data standards, workflows, and governance frameworks
• Support data readiness for regulatory submissions, audit trails, and AI training pipelines that depend on high-quality, trustworthy biotech data

Who You Are

• Experienced in leading or implementing data governance programs within biotech, life sciences, clinical research, or regulated data environments
• Strong command of data privacy, security, and compliance requirements for research and clinical trial data
• Skilled at bridging scientific and technical teams — translating governance needs into practical, enforceable standards
• Detail-oriented and systematic, with a track record of building data frameworks that hold up under regulatory scrutiny
• Comfortable working independently in a remote, asynchronous environment

Nice to Have

• Prior experience with data annotation, data quality evaluation, or AI training data workflows
• Familiarity with frameworks such as FAIR data principles, GDPR, HIPAA, or ICH E6 GCP guidelines
• Background working with clinical data management systems, biorepositories, or regulatory submission platforms
• Experience supporting FDA, EMA, or other regulatory body submissions

Why Join Us

• Work on cutting-edge AI projects alongside leading life sciences research teams and AI labs
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, high-impact work
• Contribute directly to AI development that advances how science and medicine use data
• Exposure to frontier AI models and the data systems that make better science possible
• Potential for ongoing work and contract extension as new projects launch