Remote Biotech Data Governance Lead for AI Training

Alignerr Corp.; San Antonio (TX); À distance; USD 83 000 - 165 000; Plein temps

Résumé du poste

Alignerr Corp. seeks a Biotech Health Data Governance Lead (AI Training) to ensure clinical trial and research data are accurate, auditable, and regulatory-ready for AI-driven analytics and submissions.

The role is a fully remote hourly contract, with 10–40 hours per week, designed for senior professionals in biotech, life sciences, or regulated data environments who want meaningful, high-stakes work at the intersection of science and AI.

Qualifications

• Experience leading or implementing data governance in biotech or regulated data environments.
• Strong knowledge of data privacy, security, and regulatory expectations.
• Ability to bridge scientific, technical, and business teams around data standards.
• Detail-oriented and able to build governance frameworks under regulatory scrutiny.

Responsabilités

• Govern biotech research and clinical data to ensure accuracy, lineage, and auditability for analysis and regulatory submissions.
• Define and enforce data policies covering classification, access controls, security protocols, and metadata standards across research, clinical, regulatory, and partner teams.
• Enable secure, governed data access for analytics, innovation pipelines, and external collaborations while protecting confidential and patient-related information.
• Identify data quality gaps and drive improvements that strengthen compliance and research integrity.
• Collaborate cross-functionally with scientific, IT, compliance, and business stakeholders to align data standards, workflows, and governance frameworks.
• Support AI model development by ensuring underlying biotech and clinical datasets meet quality and trust standards.

Connaissances

Data governance

Regulatory compliance

Biotech / life sciences

Cross-functional collaboration

Async remote work

Description du poste

Alignerr Corp. seeks a Biotech Health Data Governance Lead (AI Training) to ensure clinical trial and research data are accurate, auditable, and regulatory-ready for AI-driven analytics and submissions.

The role is a fully remote hourly contract, with 10–40 hours per week, designed for senior professionals in biotech, life sciences, or regulated data environments who want meaningful, high-stakes work at the intersection of science and AI.