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Job summary

Govern biotech research and clinical trial datasets to ensure accuracy, lineage, and regulatory compliance for AI training pipelines. Define and enforce data policies and security protocols while collaborating with cross-functional scientific and IT 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 and research data at scale? 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 life sciences professionals who understand what it takes to govern sensitive, regulated data in high-stakes environments. 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 full 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 access to data for analytics, innovation initiatives, and external collaborations — while rigorously protecting confidential and patient-related information Identify gaps in data quality, compliance posture, and governance coverage, and recommend practical solutions Collaborate cross-functionally with scientific, IT, compliance, and business stakeholders to align data standards, workflows, and best practices Support AI training pipelines with well-structured, trustworthy biotech and clinical data 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, and compliance requirements relevant to research and clinical trial data (e.g., HIPAA, GxP, 21 CFR Part 11) Comfortable translating complex regulatory and technical requirements into actionable governance frameworks Skilled at working across diverse teams — scientists, IT professionals, compliance officers, and business leads — to drive alignment Detail-oriented, methodical, and capable of maintaining high data quality standards under real-world constraints Self-motivated and reliable when working independently in a remote, asynchronous environment Nice to Have Prior experience with data annotation, data quality evaluation, or AI training data workflows Familiarity with clinical data management systems (EDC, CTMS, LIMS) or regulatory submission platforms Background in bioinformatics, clinical data science, or health informatics Experience with metadata management frameworks or data cataloguing tools Why Join Us Work on cutting-edge AI projects alongside leading life sciences research teams and AI labs Fully remote and flexible — work when and where it suits you Freelance autonomy with the structure of meaningful, high-impact work Contribute directly to AI development that advances scientific discovery and improves health outcomes Gain exposure to how high-quality, governed data shapes the next generation of biomedical AI 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, lineage, and regulatory compliance for AI training pipelines. Define and enforce data policies and security protocols while collaborating with cross-functional scientific and IT teams.

Requirements

Requires experience leading data governance programs in biotech or life sciences with deep knowledge of HIPAA, GxP, and 21 CFR Part 11. Candidates should be skilled in translating complex regulatory requirements into actionable frameworks in a remote environment.

Benefits

• Remote Work • Flexible Schedule • Freelance Autonomy

Listed skills

• Stakeholder Management · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Data Governance
• Clinical Trial Data Management
• HIPAA Compliance
• GxP
• 21 CFR Part 11
• Data Privacy
• Metadata Standards
• AI Training Data Workflows
• Data Lineage
• Auditability
• Bioinformatics
• Health Informatics
• Data Annotation
• Data Quality Evaluation
• Clinical Data Science
• Stakeholder Management

Job areas

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