Biotech Health Data Governance Lead

Tampa

**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