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 next-generation AI models.

This is a fully remote, flexible contract role built for experienced professionals who know how to bring rigour and structure to complex data environments — without sacrificing speed or scientific progress.

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

What You'll Do

• Lead governance of biotech research and clinical trial data — ensuring accuracy, lineage, and full auditability for 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 data access for analytics, innovation initiatives, and external collaborations — while protecting confidential and patient-related information
• Partner with scientific, IT, compliance, and business stakeholders to align data standards, resolve conflicts, and drive consistent workflows
• Identify and close gaps in data quality, documentation, and traceability across the data lifecycle

Who You Are

• Experienced in leading or implementing data governance programs within biotech, life sciences, clinical research, or regulated data environments
• Deeply familiar with data privacy, security, compliance requirements, and regulatory expectations for clinical trial and research data
• A strong cross-functional collaborator — able to bridge the gap between scientific teams and technical or compliance stakeholders
• Methodical and detail-oriented with a track record of building governance frameworks that actually get adopted
• Comfortable working independently in a remote, asynchronous environment

Nice to Have

• Prior experience with data annotation, data quality evaluation, or AI training data pipelines
• Familiarity with regulatory frameworks such as FDA 21 CFR Part 11, ICH E6 GCP, or GDPR as applied to clinical data
• Exposure to clinical data management systems, EDC platforms, or research data repositories
• Experience designing metadata schemas or data dictionaries for scientific datasets

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 and purpose of meaningful, high-stakes work
• Contribute directly to AI initiatives that have real impact on scientific discovery and patient outcomes
• Gain exposure to how high-quality, governed data enables the next generation of AI in life sciences
• Potential for ongoing work and contract extension as new projects launch