About the Role
What if your expertise in clinical data and regulatory compliance could directly shape how AI understands and handles some of the most sensitive — and consequential — data 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 filings, and next-generation AI models.
This is a fully remote, flexible contract role built for experienced professionals in life sciences, biotech, or regulated research 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 covering classification, access control, security, and metadata management across research, clinical, regulatory, and partner teams
- Enable secure, governed access to data assets for analytics, innovation, and external collaborations — while protecting confidential and patient-related information
- Identify gaps in existing data governance frameworks and recommend improvements aligned with regulatory expectations
- Collaborate 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 in biotech, life sciences, clinical research, or other regulated data environments
- Strong working knowledge of data privacy, security, compliance, and regulatory expectations for research and clinical trial data
- Skilled at bridging technical and non-technical teams — you can translate complex data governance requirements into practical workflows
- Detail-oriented, systematic, and comfortable working independently in a remote, asynchronous environment
- A clear written communicator who can document policies, findings, and recommendations with precision
Nice to Have
- Prior experience with data annotation, data quality evaluation, or AI training data systems
- Familiarity with frameworks such as GDPR, HIPAA, ICH E6, or 21 CFR Part 11
- Background in data stewardship, metadata management, or master data management in life sciences
- Exposure to clinical data management systems or regulatory submission workflows
Why Join Us
- Work on cutting-edge AI and life sciences projects alongside leading research labs
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, high-stakes work
- Make a direct impact on how AI handles and learns from regulated biotech and clinical data
- Potential for ongoing work and contract extension as new projects launch