About the Role
What if your expertise in biotech data governance could directly shape how AI understands and works with clinical and research data at scale? We're looking for a Biotech Health Data Governance Lead to ensure that the research and clinical trial data powering next-generation AI models is accurate, traceable, compliant, and ready for scientific discovery and regulatory scrutiny.
This is a fully remote, flexible contract role built for experienced professionals in life sciences, clinical research, or regulated data environments who want to apply their expertise to something genuinely groundbreaking.
- 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 assets for analytics, innovation, and external collaborations — while rigorously protecting confidential and patient-related information
- Identify gaps in existing data workflows and drive improvements that support compliance and scientific integrity
- Collaborate with scientific, IT, compliance, and business stakeholders to align data standards and governance frameworks
Who You Are
- Experienced in leading or implementing data governance programs in biotech, life sciences, clinical research, or regulated data environments
- Deeply knowledgeable about data privacy, security, and compliance requirements for research and clinical trial data
- Skilled at bridging the gap between scientific, technical, and compliance teams — translating complex requirements into clear, actionable data standards
- Detail-oriented and methodical, with a track record of enforcing governance frameworks that hold up under regulatory scrutiny
- Comfortable working independently and asynchronously in a remote, flexible environment
Nice to Have
- Prior experience with data annotation, data quality assessment, or AI training data evaluation
- Familiarity with regulatory frameworks such as GCP, HIPAA, GDPR, or FDA data requirements
- Background in clinical data management, bioinformatics, or health informatics
- Experience working with cross-functional or globally distributed teams
Why Join Us
- Work at the intersection of life sciences and cutting-edge AI with leading research organizations
- Fully remote and flexible — structure your work around your schedule
- Freelance autonomy with the substance of meaningful, high-impact work
- Direct exposure to how high-quality, well-governed data enables better science and smarter AI
- Potential for ongoing work and contract extension as new projects launch