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 life sciences research? We're looking for a Biotech Health Data Governance Lead to ensure that clinical trial and research data is accurate, traceable, compliant, and ready to power the next generation of AI-driven scientific discovery.
This is a fully remote, flexible contract role built for experienced professionals in biotech, life sciences, or regulated data environments. If you've spent your career ensuring data integrity and compliance in high-stakes research settings, this is your opportunity to apply that expertise at the frontier of AI.
- 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 protocols, and metadata standards across research, clinical, regulatory, and partner teams
- Enable secure, governed data access for analytics, innovation workflows, and external collaborations - while rigorously protecting confidential and patient-related information
- Identify gaps in data quality, compliance posture, and governance frameworks and recommend practical, actionable improvements
- Work cross-functionally with scientific, IT, compliance, and business stakeholders to align data standards and operational workflows
Who You Are
- Experienced in leading or implementing data governance programs within biotech, life sciences, clinical research, or other regulated data environments
- Deeply familiar with data privacy, security, compliance requirements, and regulatory expectations for research and clinical trial data
- Skilled at translating complex data governance requirements into clear policies and processes that diverse teams can actually follow
- A natural collaborator - comfortable working across scientific, technical, and business functions to drive alignment
- Detail-oriented, thorough, and consistent in your approach to data quality and compliance
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, HIPAA, or GDPR as applied to clinical and research data
- Background in data architecture, metadata management, or master data management in life sciences contexts
- Experience working with or evaluating AI-generated outputs in a scientific or clinical setting
Why Join Us
- Work on cutting-edge AI projects alongside leading research labs and life sciences organizations
- 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 initiatives that advance scientific discovery and improve research outcomes
- Exposure to how high-quality governed data enables better science and more trustworthy AI models
- Potential for ongoing work and contract extension as new projects launch