About the Role
What if your expertise in biotech data governance could directly shape how AI understands and works with clinical and research data — influencing the next generation of life sciences AI models?
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 advanced analytics. This is a fully remote, flexible contract role built for experienced professionals in biotech, life sciences, or regulated data environments.
- 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
- Evaluate and improve data quality standards to support AI training workflows and downstream research use cases
- Collaborate with scientific, IT, compliance, and business stakeholders to align data standards and workflows across the organization
Who You Are
- Experienced in leading or implementing data governance programs in biotech, life sciences, clinical research, or regulated data environments
- Strong understanding of data privacy, security, compliance, and regulatory expectations for research and clinical trial data
- Able to work cross-functionally — bridging the gap between scientific, technical, and compliance teams
- Detail-oriented with a systematic approach to data quality, lineage, and auditability
- Self-motivated and reliable when working independently in a remote, asynchronous environment
Nice to Have
- Prior experience with data annotation, data quality evaluation, or AI training datasets
- Familiarity with regulatory frameworks such as HIPAA, GCP, FDA 21 CFR Part 11, or ICH guidelines
- Background in clinical data management, bioinformatics, or health informatics
- Experience with data governance platforms or metadata management tools
Why Join Us
- Work at the intersection of cutting-edge AI and life sciences research alongside leading research 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 supports better science and more trustworthy research data
- Potential for ongoing work and contract extension as new projects launch