About the Role
What if your expertise in biotech data governance could directly shape how AI understands and handles clinical and research data at a global scale? We're looking for a Biotech Health Data Governance Lead to ensure that research and clinical trial data powering next-generation AI models is accurate, traceable, compliant, and ready to support scientific discovery and regulatory excellence.
This is a fully remote, flexible contract role built for experienced professionals in life sciences, clinical research, or regulated data environments who want to do meaningful work on their own terms.
- 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 for scientific analysis and regulatory submissions
- Define and enforce data policies for classification, access, security, and metadata across research, clinical, regulatory, and partner teams
- Enable secure, governed access to data for analytics, innovation, and external collaborations while 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 pipelines that underpin cutting-edge AI model training in the life sciences space
Who You Are
- Experienced in leading or implementing data governance programs in biotech, life sciences, clinical research, or other regulated data environments
- Deeply knowledgeable about data privacy, security, compliance, and regulatory expectations for research and clinical trial data
- A skilled cross-functional collaborator — comfortable working across scientific, IT, compliance, and business teams
- Detail-oriented, systematic, and committed to maintaining the highest standards of data integrity and auditability
- Self-motivated and effective when working independently in a remote, asynchronous environment
Nice to Have
- Prior experience with data annotation, data quality assessment, or AI evaluation systems
- Familiarity with regulatory frameworks such as FDA 21 CFR Part 11, GDPR, HIPAA, or GCP guidelines
- Background in data architecture, metadata management, or clinical data management systems (CDMS/EDC)
- Experience supporting regulatory submissions or working alongside clinical operations teams
Why Join Us
- Work at the intersection of life sciences and cutting-edge AI — contributing to research that matters
- Fully remote and flexible — structure your work around your life, not the other way around
- Freelance autonomy with the substance of high-impact, mission-driven projects
- Gain exposure to advanced AI models and how rigorous data governance enables better science
- Collaborate with world-leading AI research teams and life sciences organizations
- Potential for ongoing work and contract extension as new projects launch