Remote Biotech Data Governance Lead for AI Training

Alignerr; Christchurch; Remote; GBP 83,000 - 179,000; Part time

Job summary

Alignerr is seeking a Biotech Health Data Governance Lead to shape how AI training data is governed for accuracy, traceability, and regulatory readiness. This fully remote contract role suits experienced life sciences professionals comfortable in fast-moving, regulated environments.

You'll lead data governance programs across biotech research and clinical trials, defining policies, enabling secure access, and collaborating with scientists, IT, and compliance to ensure high-quality data for AI

Qualifications

• Experience designing and implementing governance for regulated biotech data.
• Familiarity with privacy and regulatory expectations for research data.
• Ability to bridge scientific and compliance teams.

Responsibilities

• Govern biotech research and clinical trial data for accuracy, lineage, and auditability for 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.
• Collaborate with scientific, IT, compliance, and business stakeholders to align data standards and workflows.
• Support the development of high-quality, trustworthy data pipelines that feed cutting-edge AI models in the life sciences space.

Skills

Data governance

Biotech data

Regulatory compliance

Collaboration

Tools

Data catalogs

Job description

Alignerr is seeking a Biotech Health Data Governance Lead to shape how AI training data is governed for accuracy, traceability, and regulatory readiness. This fully remote contract role suits experienced life sciences professionals comfortable in fast-moving, regulated environments.

You'll lead data governance programs across biotech research and clinical trials, defining policies, enabling secure access, and collaborating with scientists, IT, and compliance to ensure high-quality data for AI