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, 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 recent projects launch

📌 Biotech Health Data Governance Lead (Melbourne)
🏢 Alignerr
📍 Melbourne