Biotech Health Data Governance Lead

About The Role

What if your expertise in data governance could directly shape how the world's most advanced AI systems understand biotech and clinical research? We're looking for a Biotech Health Data Governance Lead to ensure that the data powering scientific discovery, regulatory submissions, and life sciences AI is accurate, traceable, secure, and compliant.

This is a fully remote, flexible contract role built for experienced professionals who understand the high stakes of governed data in regulated research environments.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

What You'll Do

• Govern biotech research and clinical trial datasets to ensure accuracy, lineage, and full auditability for scientific analysis and regulatory submissions
• Define, document, and enforce data policies covering classification, access controls, security standards, and metadata management across research, clinical, regulatory, and partner teams
• Enable secure, governed access to sensitive datasets for analytics, innovation, and external collaborations — while protecting confidential and patient-related information
• Identify and resolve data quality issues that could compromise research integrity or compliance posture
• Collaborate with scientific, IT, compliance, and business stakeholders to align data standards, workflows, and governance frameworks
• Support data annotation, evaluation, and quality processes that feed into AI training pipelines

Who You Are

• Experienced in leading or implementing data governance programs within biotech, life sciences, clinical research, or other regulated data environments
• Deeply knowledgeable about data privacy, security, compliance, and regulatory expectations for research and clinical trial data (e.g., HIPAA, GxP, 21 CFR Part 11)
• A skilled cross-functional collaborator — equally comfortable working with scientists, IT architects, compliance officers, and business leads
• Detail-oriented and systematic — you understand that in regulated research, the integrity of the data is the integrity of the science
• Self-directed and capable of owning governance initiatives from design through implementation

Nice to Have

• Prior experience with data annotation, data quality frameworks, or AI training data evaluation
• Familiarity with clinical data standards such as CDISC, HL7, or FHIR
• Background working with biobanks, genomics data, or electronic data capture (EDC) systems
• Experience supporting regulatory submissions (FDA, EMA) with data governance artifacts

Why Join Us

• Work at the intersection of life sciences and cutting-edge AI — your governance work directly enables better science and smarter AI
• Fully remote and flexible — structure your hours around your life, not the other way around
• Freelance autonomy with meaningful, high-impact project work
• Collaborate with world-leading AI research teams and life sciences organizations
• Potential for contract extension as projects grow and evolve