Remote Biotech Data Governance Lead for AI Training

Alignerr Corp.; Indianapolis (IN); Remote; USD 96,000 - 179,000; Part time

Job summary

Alignerr Corp. seeks a Biotech Health Data Governance Lead to shape how AI trains on biotech data, ensuring accuracy, traceability, and regulatory compliance across clinical trial and research datasets.

The role is a fully remote contract, 10–40 hours per week, requiring independence and strong governance, privacy, and data standards to enable safe, compliant AI-powered analytics in life sciences.

Qualifications

• Experience leading data governance in biotech or regulated data environments.
• Strong knowledge of privacy, security, and regulatory expectations for research and clinical data.
• Ability to coordinate across scientific, IT, compliance and business teams.

Responsibilities

• Govern biotech research and clinical trial data to ensure accuracy, lineage, and auditability across scientific analysis and regulatory submissions
• Define and enforce data policies for 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, workflows, and governance frameworks
• Support AI model development by ensuring underlying life sciences data meets the highest standards of quality and compliance

Skills

Data governance programs

Data privacy and security

Regulatory compliance

Cross-functional collaboration

Independent remote work

Job description

Alignerr Corp. seeks a Biotech Health Data Governance Lead to shape how AI trains on biotech data, ensuring accuracy, traceability, and regulatory compliance across clinical trial and research datasets.

The role is a fully remote contract, 10–40 hours per week, requiring independence and strong governance, privacy, and data standards to enable safe, compliant AI-powered analytics in life sciences.