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 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 the next generation of AI-driven scientific discovery. This is a fully remote, flexible contract role built for experienced professionals who know how to navigate the complex intersection of data integrity, regulatory compliance, and scientific research. • Organization: Alignerr • Type: Hourly Contract • Location: Remote • Commitment: 10–40 hours/week What You'll Do • Lead governance of biotech research and clinical trial data — ensuring 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 data access 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 best practices • Support the development of high-quality, trustworthy data pipelines that underpin cutting-edge AI model training in life sciences Who You Are • Experienced in leading or implementing data governance programs within biotech, life sciences, clinical research, or other regulated data environments • Deep understanding of data privacy, security, compliance frameworks, and regulatory expectations for research and clinical trial data • Skilled at bridging scientific, technical, and business teams — translating complex data requirements into practical, enforceable policies • Naturally detail-oriented with a systematic approach to data quality, traceability, and auditability • 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 workflows • Familiarity with regulatory submission standards such as FDA, EMA, or ICH guidelines • Background in clinical data management, biostatistics, or research informatics • Exposure to AI/ML data pipelines or life sciences technology platforms 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 • Make a direct contribution to AI systems that advance scientific discovery and improve human health • Potential for ongoing work and contract extension as new projects launch