Biotech Health Data Governance Lead

Biotech Health Data Governance Lead (AI Training)About The Role What if your deep expertise in biotech data governance could directly shape how AI understands and works with clinical and research data at scale? We're looking for a Biotech Health Data Governance Lead to ensure that research and clinical trial data powering next-generation AI models is accurate, traceable, compliant, and ready for scientific discovery and regulatory scrutiny. This is a fully remote, flexible contract role built for experienced life sciences professionals who want meaningful work with real impact — on their own schedule.

• 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 full auditability for scientific analysis and regulatory submissions
• Define and enforce data policies covering classification, access controls, security protocols, and metadata standards across research, clinical, regulatory, and partner teams
• Enable secure, governed access to sensitive data for analytics, innovation initiatives, 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
• Identify gaps in data quality or governance processes and implement practical, scalable solutions

Who You Are

• Experienced in leading or implementing data governance programs within biotech, life sciences, clinical research, or other regulated data environments
• Strong working knowledge of data privacy, security, compliance frameworks, and regulatory expectations for research and clinical trial data (e.g., FDA, GCP, HIPAA, GDPR)
• Skilled at translating complex governance requirements into clear policies and actionable workflows
• Effective collaborator — you can bridge the gap between scientific, technical, and compliance teams
• Detail-oriented and systematic — you build processes that hold up under regulatory scrutiny

Nice to Have

• Prior experience with data annotation pipelines, data quality evaluation, or AI training data workflows
• Familiarity with clinical data management systems or electronic data capture (EDC) platforms
• Background in bioinformatics, regulatory affairs, or clinical data management
• Exposure to AI or machine learning data infrastructure in a life sciences context

Why Join Us

• Work on cutting-edge AI projects alongside leading research labs and life sciences organizations
• 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 accelerates real scientific discovery and innovation
• Exposure to how high-quality, governed data enables better AI models across the life sciences
• Potential for ongoing work and contract extension as new projects launch