Biotech Health Data Governance Lead

Alignerr Corp.; Edmonton; Remote; CAD 83,000 - 124,000; Full time

Job summary

Alignerr Corp. seeks a Biotech Health Data Governance Lead to ensure biotech research and clinical trial data are accurate, traceable, and audit-ready for AI training and regulatory submissions. This remote, hourly-contract role shapes data standards across teams and enables compliant data workflows.

You will define policies, oversee privacy and security, and collaborate with scientists, IT, and compliance to enable secure data access and reliable AI model training in life sciences.

Qualifications

• Lead or implement data governance programs in biotech or regulated data environments.
• Deep knowledge of data privacy, security, and regulatory expectations for clinical data.
• Experience working with bench scientists to IT/compliance teams.
• Detail-oriented with audit-ready data ecosystems.
• Comfortable in remote, asynchronous work.

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 data access for analytics and external collaborations while protecting patient information.
• Evaluate and improve data quality frameworks for AI model training.
• Collaborate with scientists, IT, compliance, and business stakeholders on data standards.

Skills

Data governance

Biotech / life sciences

Regulatory compliance

Cross-functional collaboration

Job description

Biotech Health Data Governance Lead (AI Training)

About The Role

What if your expertise in biotech data governance could directly shape how AI understands and works with clinical research data — influencing discoveries that affect millions of patients worldwide? We're looking for a Biotech Health Data Governance Lead to ensure that research and clinical trial data is accurate, traceable, compliant, and ready to power cutting-edge AI models and regulatory submissions.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

What You'll Do

• Govern biotech research and clinical trial data to ensure accuracy, lineage, and full auditability for scientific analysis and regulatory submissions
• Define and enforce data policies covering classification, access controls, security standards, and metadata management across research, clinical, regulatory, and partner teams
• Enable secure, governed data access for analytics, innovation pipelines, and external collaborations — while protecting confidential and patient-related information
• Evaluate and improve data quality frameworks used to support AI model training in life sciences contexts
• Collaborate with scientific, IT, compliance, and business stakeholders to align data standards, workflows, and governance practices

Who You Are

• Experienced in leading or implementing data governance programs within biotech, life sciences, clinical research, or another regulated data environment
• Deeply familiar with data privacy, security, and compliance requirements — including regulatory expectations for clinical trial and research data
• Skilled at working across cross-functional teams — from bench scientists to IT architects to compliance officers
• Detail-oriented and systematic, with a track record of building trustworthy, audit-ready data ecosystems
• Comfortable working independently in a remote, asynchronous environment

Nice to Have

• Prior experience with data annotation, data quality evaluation, or AI training data pipelines
• Familiarity with regulatory frameworks such as FDA 21 CFR Part 11, ICH E6 GCP, or HIPAA
• Background in data architecture, metadata management, or master data management in a life sciences context
• Experience working with or evaluating AI/ML datasets in research or clinical settings

Why Join Us

• Work at the intersection of life sciences and cutting-edge AI — a rare and genuinely exciting opportunity
• Fully remote and flexible — structure your work around your life, not the other way around
• Freelance autonomy with meaningful, substantive project work that draws on your deepest expertise
• Contribute to AI initiatives that support real scientific discovery and better health outcomes
• Collaborate with world-class AI research teams and life sciences organizations
• Potential for ongoing work and contract extension as projects evolve