AI-Ready Biotech Data Governance Lead (Remote)

Alignerr Corp.; Charlotte (AR); Remote; USD 55,000 - 110,000; Part time

Job summary

Alignerr is seeking a Biotech Health Data Governance Lead to ensure data used for AI and life sciences is accurate, traceable, and compliant across research and clinical datasets.

This remote, hourly contract role (10–40 hours/week) focuses on implementing governance policies, standards, and metadata management while collaborating with scientists, compliance, and IT to enable trusted analytics and secure data access.

Qualifications

• Experience leading data governance in biotech, life sciences, or regulated data.
• Knowledge of privacy, security, and regulatory expectations (FDA, HIPAA, 21 CFR Part 11).
• Ability to collaborate with scientists, compliance, IT and business teams.

Responsibilities

• Govern biotech research and clinical trial datasets to ensure accuracy, lineage, and full auditability for scientific analysis and regulatory submissions
• Define and enforce data policies spanning classification, access controls, security, and metadata management across research, clinical, regulatory, and partner teams
• Enable secure, governed data access that supports advanced analytics, innovation, and external collaborations — while rigorously protecting confidential and patient-related information
• Identify gaps in existing data governance frameworks and implement improvements that align with regulatory expectations and scientific best practices
• Collaborate cross-functionally with scientific, IT, compliance, and business stakeholders to align data standards, workflows, and quality controls

Skills

Data governance

Biotech data privacy

Regulatory compliance

Cross-functional collaboration

Audit readiness

Job description

Alignerr is seeking a Biotech Health Data Governance Lead to ensure data used for AI and life sciences is accurate, traceable, and compliant across research and clinical datasets.

This remote, hourly contract role (10–40 hours/week) focuses on implementing governance policies, standards, and metadata management while collaborating with scientists, compliance, and IT to enable trusted analytics and secure data access.