Alignerr
Biotech Health Data Governance Lead
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Biotech Health Data Governance Lead (AI Training)
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
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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
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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
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