Biotech Health Data Governance Lead

Biotech Health Data Governance Lead (AI Training)



About The Role



What if your expertise in biotech and clinical data could directly shape how AI understands and operates within one of the most regulated, high-stakes industries in the world? 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 submissions, and advanced AI-driven analytics.



This is a fully remote, flexible contract role built for experienced professionals who know how to navigate the intersection of life sciences, data compliance, and cutting-edge technology.




- 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 standards, and metadata management across research, clinical, regulatory, and partner teams
- Enable secure, governed data access for analytics, innovation pipelines, and external collaborations — while rigorously protecting confidential and patient-related information
- Collaborate with scientific, IT, compliance, and business stakeholders to align data standards, workflows, and governance frameworks
- Support the development of high-quality, trustworthy data that underpins cutting-edge AI model training in life sciences





Who You Are





- Experienced in leading or implementing data governance programs within biotech, life sciences, clinical research, or other regulated data environments
- Strong command of data privacy, security, compliance frameworks, and regulatory expectations specific to research and clinical trial data
- Able to bridge scientific, technical, and business teams — translating complex data standards into practical, enforceable policies
- Detail-oriented, systematic, and comfortable operating independently in a remote, asynchronous environment
- Confident working across ambiguous, fast-moving projects where data quality and integrity are mission-critical





Nice to Have





- Prior experience with data annotation, data quality assurance, or AI evaluation systems
- Familiarity with regulatory submission requirements (FDA, EMA, ICH guidelines, or similar)
- Background in data architecture, master data management, or clinical data management platforms
- Experience working with or evaluating AI-generated data outputs in a scientific context





Why Join Us





- Work on cutting-edge AI and life sciences projects alongside leading research teams
- Fully remote and flexible — structure your hours around your life, not the other way around
- Freelance autonomy with the substance of meaningful, high-impact work
- Contribute to data governance initiatives that directly enable better science and more trustworthy AI
- Exposure to how advanced AI models are trained and validated using high-quality scientific data
- Potential for ongoing work and contract extension as new projects launch