Biotech Health Data Governance Lead

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

Job summary

Alignerr Corp. is seeking a Biotech Health Data Governance Lead to ensure data used for AI training and evaluation in clinical research is accurate, traceable, and compliant.

This fully remote hourly contract role offers 10–40 hours per week, with autonomy and exposure to frontier AI and biotech research. You will define data policies, govern privacy and security for regulated datasets, and collaborate across scientific, IT, and compliance teams to enable secure data access and scalable

Qualifications

• Experience leading or implementing data governance programs in biotech, life sciences, or regulated data environments.
• Strong knowledge of data privacy, security, and regulatory expectations for research data.
• Ability to translate governance requirements into clear, actionable standards.

Responsibilities

• Govern biotech research and clinical trial datasets for accuracy, lineage, and auditability.
• Define data policies across research, clinical, regulatory, and partner teams.
• Enable secure data access for analytics and AI development while protecting patient information.
• Evaluate and improve data quality workflows and readiness for AI training pipelines.
• Collaborate with scientific, IT, and compliance stakeholders to align governance with regulatory requirements.

Skills

Data governance

Biotech data

Regulatory compliance

Documentation

Remote collaboration

Education

Bachelor's in life sciences or data management

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 the future of life sciences and scientific discovery?

We're looking for a Biotech Health Data Governance Lead to ensure that research and clinical trial data used in AI training and evaluation is accurate, traceable, compliant, and scientifically trustworthy. Your work will sit at the intersection of cutting‑edge AI development and regulated life sciences research — a rare and meaningful place to operate.

This is a fully remote, flexible contract role built for experienced professionals who want autonomy, meaningful impact, and exposure to frontier AI and biotech research.

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

What You'll Do

• Govern biotech research and clinical trial datasets to ensure accuracy, lineage, and auditability for scientific analysis and regulatory submissions
• Define and enforce data policies covering classification, access controls, security protocols, and metadata standards across research, clinical, regulatory, and partner teams
• Enable secure, governed data access for analytics, AI model development, and external collaborations — while protecting confidential and patient‑related information
• Evaluate and improve data quality workflows, annotation standards, and data readiness for AI training pipelines
• Collaborate across scientific, IT, compliance, and business stakeholders to align data governance frameworks with operational and regulatory requirements
• Support the development of scalable, auditable data governance practices suited to fast‑moving life sciences and AI research environments

Who You Are

• Experienced in leading or implementing data governance programs within biotech, life sciences, clinical research, or other regulated data environments
• Deeply knowledgeable about data privacy, security, compliance, and regulatory expectations for research and clinical trial data
• Comfortable bridging scientific, technical, and business teams — translating complex governance requirements into clear, actionable standards
• Detail‑oriented and systematic — you build trust through thoroughness, consistency, and clear documentation
• Self‑directed and reliable when working independently in a remote, asynchronous environment

Nice to Have

• Prior experience with data annotation, data quality assurance, or AI data evaluation systems
• Familiarity with regulatory frameworks such as FDA 21 CFR Part 11, GCP, HIPAA, or ICH guidelines
• Background in clinical data management, bioinformatics, or health informatics
• Experience working alongside AI or machine learning teams in a data governance capacity

Why Join Us

• Work at the frontier of AI and life sciences — contributing to projects that matter for both fields
• Fully remote and flexible — structure your work around your schedule
• Freelance autonomy with the substance of high‑stakes, technically rigorous work
• Gain exposure to advanced AI models and how high‑quality, governed data drives better science
• Potential for ongoing work and contract extension as new projects launch