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 at the highest level? 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 scientific discovery and 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 built or led data governance programs and understand what it takes to keep research data trustworthy and audit-ready, we want to hear from 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 covering classification, access controls, security, and metadata standards 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 existing data workflows and recommend practical governance improvements • Collaborate across scientific, IT, compliance, and business stakeholders to align data standards and processes • Support AI training initiatives by ensuring high-quality, well-structured, and compliant data inputs Who You Are • Experienced in leading or implementing data governance programs in biotech, life sciences, clinical research, or regulated data environments • Strong command of data privacy, security, compliance frameworks, and regulatory expectations for research and clinical trial data • Skilled at bridging scientific, technical, and compliance teams to align on data standards and workflows • Detail-oriented and methodical — you take data quality seriously and know how to enforce it systematically • Comfortable working independently and asynchronously in a remote environment • Self-motivated with a track record of delivering governance outcomes without close supervision Nice to Have • Prior experience with data annotation, data quality programs, or AI evaluation systems • Familiarity with regulatory submission requirements (FDA, EMA, ICH, or equivalent) • Background in clinical data management, bioinformatics, or health informatics • Experience designing metadata frameworks or data lineage documentation • Exposure to AI or machine learning pipelines in a life sciences context Why Join Us • Work on cutting-edge AI projects alongside leading life sciences research teams and AI labs • Fully remote and flexible — structure your hours around your schedule • Freelance autonomy with the depth and meaning of high-impact, domain-specific work • Contribute to governance frameworks that support real scientific breakthroughs and better AI • Potential for ongoing work and contract extension as new projects launch