Biotech Data Governance Lead for AI Training (Remote)

Alignerr Corp.; Wellington; Remote; NZD 83,000 - 152,000; Part time

Job summary

Alignerr is seeking a Biotech Health Data Governance Lead (AI Training) to govern biotech research and clinical trial data. This remote, hourly contract role focuses on accuracy, lineage, auditability, and compliant data handling to power AI analytics and regulatory submissions.

Ideal candidate has deep experience in regulated biotech data environments, strong collaboration skills, and the ability to implement scalable governance frameworks in a remote, asynchronous setting.

Qualifications

• Experienced in leading data governance programs within biotech, life sciences, clinical research, or regulated data environments.
• Deep knowledge of data privacy, security and compliance for research and clinical trial data.
• Natural collaborator bridging scientific, IT, compliance and business stakeholders.
• Detail-oriented with ability to build scalable governance frameworks.

Responsibilities

• Govern biotech research and clinical trial data to ensure accuracy, lineage, and auditability.
• Define and enforce data policies across classification, access controls, security, and metadata standards.
• Enable governed access to sensitive data for analytics and collaborations while protecting patient information.
• Identify gaps in data quality, traceability, and compliance workflows and implement solutions.
• Collaborate with stakeholders to align data standards and governance practices.

Skills

Data governance leadership

Data privacy & compliance

Cross-functional collaboration

Detail-oriented

Remote work self-directed

Tools

Data catalogues

Lineage tracking

Metadata management platforms

Job description

Alignerr is seeking a Biotech Health Data Governance Lead (AI Training) to govern biotech research and clinical trial data. This remote, hourly contract role focuses on accuracy, lineage, auditability, and compliant data handling to power AI analytics and regulatory submissions.

Ideal candidate has deep experience in regulated biotech data environments, strong collaboration skills, and the ability to implement scalable governance frameworks in a remote, asynchronous setting.