Biotech Health Data Governance Lead

Alignerr Corp.; Melbourne; Remote; AUD 96,000 - 165,000; Full time

Job summary

Alignerr is seeking a Biotech Health Data Governance Lead to shape how AI uses clinical research and regulatory data. This fully remote hourly contract role focuses on accuracy, traceability, and compliance of research and clinical trial data powering AI models.

You will define governance policies, enable secure access for analytics while protecting patient information, and collaborate across scientific, IT, and compliance teams to meet regulatory expectations.

Qualifications

• Experienced in leading or implementing data governance programs within biotech, life sciences, clinical research, or other regulated data environments.
• Deep understanding of data privacy, security, compliance requirements, and regulatory expectations specific to research and clinical trial data.

Responsibilities

• 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 access to sensitive datasets for analytics, AI development, and external collaborations while protecting confidential and patient-related information
• Evaluate and improve data quality standards to ensure datasets meet the rigorous demands of AI training and life sciences research
• Collaborate with scientific, IT, compliance, and business stakeholders to align data governance frameworks with real-world workflows

Skills

Data governance leadership

Regulatory compliance knowledge

Cross-functional collaboration

Attention to detail

Tools

Data cataloguing tools

Metadata management platforms

Data lineage systems

Job description

Biotech Health Data Governance Lead (AI Training)

What if your expertise in biotech data governance could directly shape how AI understands and works with clinical research, regulatory submissions, and life sciences data? We're looking for a Biotech Health Data Governance Lead to ensure that the research and clinical trial data powering next-generation AI models is accurate, traceable, compliant, and scientifically sound.

This is a fully remote, flexible contract role built for experienced professionals in biotech, life sciences, or regulated data environments. If you've spent your career making complex data trustworthy and usable — this is your opportunity to apply that expertise at the frontier of AI.

• 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 access to sensitive datasets for analytics, AI development, and external collaborations while protecting confidential and patient-related information
• Evaluate and improve data quality standards to ensure datasets meet the rigorous demands of AI training and life sciences research
• Collaborate with scientific, IT, compliance, and business stakeholders to align data governance frameworks with real-world workflows

Who You Are

• Experienced in leading or implementing data governance programs within biotech, life sciences, clinical research, or other regulated data environments
• Deep understanding of data privacy, security, compliance requirements, and regulatory expectations specific to research and clinical trial data
• Confident collaborating across multidisciplinary teams — from bench scientists and IT architects to compliance officers and external partners
• Methodical, detail-oriented, and comfortable navigating complex data ecosystems with competing stakeholder needs
• Able to translate technical governance requirements into clear, actionable policies and standards

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, GxP, HIPAA, or GDPR as applied to clinical and research data
• Background in clinical data management, biostatistics, or bioinformatics
• Experience with data cataloguing tools, metadata management platforms, or data lineage systems

Why Join Us

• Work on cutting-edge AI projects alongside leading AI research teams and life sciences organizations
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, high-impact work
• Direct contribution to AI models that support real scientific discovery and better patient outcomes
• Exposure to how high-quality, governed data enables more trustworthy and capable AI at scale
• Potential for ongoing work and contract extension as new projects launch