Biotech Health Data Governance Lead

Biotech Health Data Governance Lead (AI Training) About The Role What if your expertise in biotech and clinical data governance could directly shape how AI understands and reasons about life sciences research? 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 submissions, and advanced AI-driven analytics. This is a fully remote, flexible contract role built for experienced professionals in biotech, life sciences, or regulated data environments. If you've spent time wrestling with data lineage, access controls, and compliance frameworks in high-stakes scientific settings - this is the role for you. 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 Identify gaps in data quality and implement standards that support trustworthy AI model training Collaborate across scientific, IT, compliance, and business teams to align data workflows and governance frameworks Work independently and asynchronously - fully on your own schedule Who You Are Experienced in leading or implementing data governance programs in biotech, life sciences, clinical research, or regulated data environments Strong understanding of data privacy, security, compliance, and regulatory expectations for research and clinical trial data Able to bridge scientific, technical, and business teams to align data standards and practices Detail-oriented and systematic - you care deeply about data integrity and auditability Comfortable working independently in a remote, asynchronous environment Nice to Have Prior experience with data annotation, data quality assessment, or AI evaluation systems Familiarity with regulatory frameworks such as FDA 21 CFR Part 11, GCP, or HIPAA Background in clinical data management, bioinformatics, or health informatics Experience with metadata management tools or data cataloging platforms Why Join Us Work on cutting-edge AI projects alongside leading life sciences research teams and AI labs 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 advances the future of biotech and scientific discovery Potential for ongoing work and contract extension as new projects launch #J-18808-Ljbffr