Biotech Health Data Governance Lead
Biotech Health Data Governance Lead (AI Training) About The Role What if your expertise in biotech and clinical 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 research and clinical trial data is accurate, traceable, compliant, and ready to power scientific discovery, regulatory submissions, and advanced AI-driven analytics. This is a fully remote, flexible contract role built for experienced professionals in biotech, life sciences, or regulated data environments. If you've built or led data governance programs and understand what it takes to keep complex research data trustworthy and audit-ready, this role was made for you.
- 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, and metadata standards 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 cross-functionally with scientific, IT, compliance, and business stakeholders to align data standards and workflows
- Support the development of high-quality, trustworthy datasets that underpin cutting-edge AI models in the life sciences space
Who You Are
- Experienced in leading or implementing data governance programs within biotech, life sciences, clinical research, or regulated data environments
- Strong command of data privacy, security, compliance frameworks, and regulatory expectations for research and clinical trial data
- Skilled at working across diverse teams — scientists, engineers, compliance officers, and business partners — to align on data standards
- Detail-oriented and systematic, with a clear understanding of what makes data trustworthy at scale
- Self-directed and comfortable 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 FDA 21 CFR Part 11, ICH guidelines, or GDPR as applied to clinical research
- Background in clinical data management systems or research data platforms
- Experience working with AI or machine learning teams on data readiness
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 research and AI development that has real-world scientific and healthcare impact
- Potential for ongoing work and contract extension as new projects launch
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