Biotech Health Data Governance Lead
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 clinical and research data at the highest level? 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 AI-driven analytics. This is a fully remote, flexible contract role built for experienced professionals in life sciences and regulated data environments. If you've spent years ensuring data integrity in biotech or clinical research, this is your opportunity to apply that expertise at the frontier 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 for 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 across scientific, IT, compliance, and business teams to align data standards and workflows
- Support AI training initiatives by ensuring the quality, traceability, and integrity of life sciences datasets
Who You Are
- Experienced in leading or implementing data governance programs in biotech, life sciences, clinical research, or regulated data environments
- Deeply familiar with data privacy, security, compliance, and regulatory expectations for research and clinical trial data
- A natural collaborator who can bridge scientific, technical, and business teams around shared data standards
- Detail-oriented, systematic, and comfortable operating in high-accountability environments
- Self-motivated and reliable when working independently in a remote, asynchronous setting
Nice to Have
- Prior experience with data annotation, data quality, or AI evaluation systems
- Familiarity with regulatory frameworks such as FDA, ICH, GDPR, or HIPAA as applied to clinical data
- Background in bioinformatics, clinical data management, or health informatics
- Experience working with data governance platforms or metadata management tools
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 directly to AI initiatives that advance scientific discovery and improve research outcomes
- Potential for ongoing work and contract extension as new projects launch
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