About the Role
What if your expertise in biotech data governance could directly shape how AI understands and works with life sciences research? We're looking for a Biotech Health Data Governance Lead to ensure that clinical trial and research 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 biotech, life sciences, or regulated research environments. If you've spent your career making sure data is trustworthy and audit-ready, this is your opportunity to bring that expertise to the cutting edge of AI.
- 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 controls, security standards, and metadata management across research, clinical, regulatory, and partner teams
- Enable secure, governed access to data for analytics, innovation, and external collaboration — while protecting confidential and patient-related information
- Identify data quality gaps and implement systematic improvements to support AI training workflows and research integrity
- Collaborate across scientific, IT, compliance, and business stakeholders to align data standards and workflows with regulatory and organizational expectations
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 specific to research and clinical trial data
- A natural collaborator — comfortable bridging scientific, technical, and compliance teams to drive alignment on data standards
- Detail-oriented and systematic, with a track record of building governance frameworks that hold up under scrutiny
- Confident working independently in a remote, asynchronous environment
Nice to Have
- Prior experience with data annotation, data quality evaluation, or AI training data workflows
- 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 metadata management tools or data cataloging platforms
Why Join Us
- Work on cutting-edge AI and life sciences projects alongside leading research teams
- 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 advances the quality and trustworthiness of biomedical research at scale
- Potential for ongoing work and contract extension as new projects launch