Biotech Health Data Governance Lead

Job summary

Govern biotech research and clinical trial datasets to ensure accuracy, traceability, auditability, and compliance, while defining data policies for access, security, and metadata. Collaborate with scientific, IT, compliance, and business teams to improve governance and provide trustworthy data for analytics, regulatory submissions, and AI training.

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, traceability, auditability, and compliance, while defining data policies for access, security, and metadata. Collaborate with scientific, IT, compliance, and business teams to improve governance and provide trustworthy data for analytics, regulatory submissions, and AI training.

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 relevant privacy, security, and compliance requirements. They should be able to translate regulatory and technical requirements into practical frameworks, collaborate across teams, and maintain high data quality while working independently in a remote setting.

Benefits

• Flexible Remote Work
• Freelance Autonomy
• High-Impact Work
• Exposure To Biomedical AI
• Potential For Ongoing Work And Contract Extension

Listed skills

• Regulatory Compliance · Preferred
• Cross-Functional Collaboration · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Biotech Data Governance
• Clinical Data Governance
• Data Quality Management
• Data Lineage And Auditability
• Data Privacy And Security
• Regulatory Compliance
• HIPAA
• GxP
• 21 CFR Part 11
• Data Classification And Access Controls
• Metadata Standards
• Clinical Research Data Management
• Cross-Functional Collaboration
• AI Training Data Workflows
• Data Annotation
• Clinical Data Management Systems

Job areas

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

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