Biotech Health Data Governance Lead

Denver

**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 clinical and research data --- improving the science that drives real medical breakthroughs? 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 filings, and advanced AI-driven analytics. This is a fully remote, flexible contract role built for experienced professionals who want meaningful, high-impact work on their own terms. * 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 for classification, access, security, and metadata 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 across scientific, IT, compliance, and business teams to align data standards, workflows, and governance frameworks * Support data readiness for AI model training and evaluation in life sciences contexts **Who You Are** * Experienced in leading or implementing data governance programs in biotech, life sciences, clinical research, or similarly regulated data environments * Strong understanding of data privacy, security, compliance, and regulatory expectations for research and clinical trial data * Skilled at bridging the gap between scientific, technical, and compliance teams --- translating complex requirements into clear, actionable standards * Naturally detail-oriented with a structured, methodical approach to data quality and policy enforcement * Self-motivated and effective working independently in a remote, asynchronous environment **Nice to Have** * Prior experience with data annotation, data quality assurance, or AI evaluation systems * Familiarity with regulatory frameworks such as FDA, GxP, HIPAA, or ICH guidelines * Background in clinical data management, biomedical informatics, or health data architecture * Experience working with external research partners or cross-functional global teams **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-stakes work * Gain direct exposure to how high-quality governed data enables better AI and better science * Contribute to initiatives that sit at the intersection of life sciences and next-generation AI * Potential for ongoing work and contract extension as new projects launch