Biotech Health Data Governance Lead

* 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 standards, and metadata management across research, clinical, regulatory, and partner teams * Enable secure, governed data access for analytics, innovation pipelines, and external collaborations — while rigorously protecting confidential and patient-related information * Collaborate with scientific, IT, compliance, and business stakeholders to align data standards, workflows, and governance frameworks * Support the development of high-quality, trustworthy data that underpins 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 * Strong command of data privacy, security, compliance frameworks, and regulatory expectations specific to research and clinical trial data * Able to bridge scientific, technical, and business teams — translating complex data standards into practical, enforceable policies * Detail-oriented, systematic, and comfortable operating independently in a remote, asynchronous environment * Confident working across ambiguous, fast-moving projects where data quality and integrity are mission-critical

Nice to Have

* Prior experience with data annotation, data quality assurance, or AI evaluation systems * Familiarity with regulatory submission requirements (FDA, EMA, ICH guidelines, or similar) * Background in data architecture, master data management, or clinical data management platforms * Experience working with or evaluating AI-generated data outputs in a scientific context

Why Join Us

* Work on cutting-edge AI and life sciences projects alongside leading research teams * Fully remote and flexible — structure your hours around your life, not the other way around * Freelance autonomy with the substance of meaningful, high-impact work * Contribute to data governance initiatives that directly enable better science and more trustworthy AI * Exposure to how advanced AI models are trained and validated using high-quality scientific data * Potential for ongoing work and contract extension as new projects launch