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 a global scale? 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 in life sciences, biotech, 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 covering 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 and workflows across the organization
- Support AI model training initiatives by ensuring high-quality, well-structured, and compliant biotech data is available for evaluation and annotation workflows
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 frameworks, and regulatory expectations for research and clinical trial data
- A natural collaborator who can bridge scientific, technical, and compliance teams to align on data standards and best practices
- Detail-oriented and systematic — you understand that in regulated environments, precision isn't optional
- Self-directed and comfortable 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, HIPAA, GDPR, or ICH E6 GCP
- Background in clinical data management, biostatistics, or research informatics
- Exposure to AI/ML data pipelines or life sciences technology platforms
Why Join Us
- Work on cutting-edge AI projects alongside leading life sciences research teams and AI labs
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, high-impact work
- Contribute to AI development that directly improves the quality and trustworthiness of biomedical research
- Gain exposure to advanced AI models and how high-quality governed data enables better science
- Potential for ongoing work and contract extension as new projects launch