Biotech Health Data Governance Lead

Job summary

Govern biotech research and clinical trial datasets to ensure accuracy, traceability, auditability, and readiness for scientific analysis, regulatory submissions, and AI training. Define and implement data governance policies and quality standards, enable secure data access, and collaborate with scientific, technical, compliance, and business teams.

Job details

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

What you’ll do

Govern biotech research and clinical trial datasets to ensure accuracy, traceability, auditability, and readiness for scientific analysis, regulatory submissions, and AI training. Define and implement data governance policies and quality standards, enable secure data access, and collaborate with scientific, technical, compliance, and business teams.

Requirements

Candidates should have experience leading or implementing data governance in biotech, life sciences, clinical research, or another regulated data environment, with strong knowledge of privacy, security, and regulatory expectations. They should be systematic, detail-oriented, able to translate governance requirements for diverse teams, and reliable working independently in a remote setting.

Benefits

• Flexible Schedule
• Remote Work
• Freelance Autonomy
• Exposure to Advanced AI Models
• Potential for Ongoing Work and Contract Extension

Listed skills

• Regulatory Compliance · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Biotech Data Governance
• Clinical Research Data
• Data Privacy
• Data Security
• Regulatory Compliance
• Data Quality Assurance
• Data Lineage
• Auditability
• Metadata Standards
• Access Controls
• Data Classification
• AI Training Data
• Data Annotation
• Clinical Data Management
• Bioinformatics
• Health Informatics

Job areas

• Data & Analytics
• Science & Research
• Healthcare
• Technology
• Management & Leadership

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