Remote Biotech Data Governance Lead for AI Training

Alignerr Corp.; Chicago (IL); Remote; USD 83,000 - 152,000; Part time

Job summary

Alignerr is seeking a Biotech Health Data Governance Lead (AI Training) to shape how regulated clinical and trial data is governed for AI applications. This fully remote, hourly contract role suits seasoned professionals in life sciences who want meaningful, flexible work.

In this role you will implement data policies, ensure data lineage and auditability, enable secure access for analytics and collaborations, and collaborate with scientific, IT, and compliance teams to align data standards with

Qualifications

• Experience leading data governance in biotech or regulated settings.
• Strong knowledge of privacy, security, and regulatory expectations for research data.
• Ability to translate governance requirements into practical workflows.
• Excellent written communication and documentation skills.

Responsibilities

• Govern biotech research and clinical trial data for accuracy, lineage, and auditability.
• Define and enforce data policies across research, regulatory, and partner teams.
• Enable secure, governed access to data assets for analytics and collaborations.
• Identify gaps in governance and recommend improvements per regulatory expectations.
• Collaborate with scientific, IT, compliance, and business stakeholders.

Skills

Data governance

Regulatory compliance

Biotech experience

Stakeholder management

Documentation

Independent work

Tools

Regulatory software

Job description

Alignerr is seeking a Biotech Health Data Governance Lead (AI Training) to shape how regulated clinical and trial data is governed for AI applications. This fully remote, hourly contract role suits seasoned professionals in life sciences who want meaningful, flexible work.

In this role you will implement data policies, ensure data lineage and auditability, enable secure access for analytics and collaborations, and collaborate with scientific, IT, and compliance teams to align data standards with