Top Benefits
About the role
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
Similar Jobs
Top Benefits
About the role
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