About the Role
What if your expertise in biotech and clinical data could directly influence how AI understands and advances life sciences research? 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 next-generation AI models.
This is a fully remote, flexible contract role built for experienced professionals in biotech, life sciences, or regulated data environments. If you know how to bring order, integrity, and rigor to complex research data — this is your opportunity to do it 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 with scientific, IT, compliance, and business stakeholders to align data standards, workflows, and governance frameworks
- Identify gaps in data quality, traceability, and compliance — and drive measurable improvements
- Support the development of high-quality, trustworthy datasets that underpin cutting-edge AI model training in life sciences
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
- Skilled at bridging scientific, technical, and business teams to build shared data standards and practices
- Detail-oriented and systematic — you bring structure and rigor to complex, multi-stakeholder data environments
- Comfortable working independently and managing your own priorities in a remote, asynchronous setting
Nice to Have
- Prior experience with data annotation, data quality assurance, or AI evaluation systems
- Familiarity with regulatory frameworks such as FDA 21 CFR Part 11, ICH E6, HIPAA, or GDPR as applied to clinical and research data
- Background working with clinical data management systems, LIMS, or biotech data platforms
- Experience supporting regulatory submissions or data audits in a life sciences context
Why Join Us
- Work at the intersection of life sciences and cutting-edge AI with leading research organizations
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure and purpose of meaningful, high-impact work
- Direct exposure to how high-quality, governed data enables better science and smarter AI
- Potential for ongoing work and contract extension as new projects launch