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 clinical and research data at the frontier of life sciences? We're looking for a Biotech Health Data Governance Lead to ensure that the research and clinical trial data powering next-generation AI models is accurate, compliant, traceable, and scientifically trustworthy.

This is a fully remote, flexible contract role built for experienced professionals in biotech, life sciences, or regulated research environments 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 covering 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, compliance posture, and governance workflows — and recommend practical solutions
• Collaborate with scientific, IT, compliance, and business stakeholders to align data standards and drive consistent practices across the organization
• Support AI training initiatives by ensuring underlying biotech data meets the quality and integrity standards required for advanced model development

Who You Are

• Experienced in leading or implementing data governance programs in biotech, life sciences, clinical research, or other regulated data environments
• Strong working knowledge of data privacy, security, compliance frameworks, and regulatory expectations for research and clinical trial data
• Comfortable bridging scientific, technical, and business teams — translating governance requirements into practical, actionable standards
• Detail-oriented and systematic, with a track record of building or maintaining data quality at scale
• Self-directed and reliable when working independently in a remote, asynchronous environment

Nice to Have

• Prior experience with data annotation, data quality evaluation, or AI training data pipelines
• Familiarity with regulatory submission frameworks (FDA, EMA, ICH, or similar)
• Background in clinical data management, bioinformatics, or health informatics
• Experience working across cross-functional or globally distributed teams

Why Join Us

• Work on cutting-edge AI and life sciences projects alongside leading research organizations
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, high-impact contract work
• Direct exposure to how high-quality, governed data enables breakthroughs in AI and scientific discovery
• Potential for ongoing work and contract extension as new projects launch