Biotech Health Data Governance Lead
Há 12 horas
Brasil
Alignerr
Remoto
Tempo integral
Grátis com e-mail ou Google
Salve esta vaga e mantenha sua pesquisa organizada
Crie uma conta gratuita para salvar vagas, criar alertas e retornar a esta listagem a partir do seu painel.
Grátis com e-mail ou Google
Ao continuar, você concorda com nossos Termos & Política de Privacidade.
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 a global scale? We're looking for a Biotech Health Data Governance Lead to ensure that research and clinical trial data is accurate, traceable, compliant, and ready to power scientific discovery, regulatory submissions, and advanced AI-driven analytics. This is a fully remote, flexible contract role built for experienced professionals in life sciences, biotech, or regulated data environments who want to do meaningful work on their own terms.
• 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 auditability for scientific analysis and regulatory submissions
• Define and enforce data policies covering classification, access, security, and metadata across research, clinical, regulatory, and partner teams
• Enable secure, governed access to data for analytics, innovation, and external collaborations while protecting confidential and patient-related information
• Collaborate with scientific, IT, compliance, and business stakeholders to align data standards and workflows across the organization
• Support AI model training initiatives by ensuring high-quality, well-structured, and compliant biotech data is available for evaluation and annotation workflows Who You Are
• Experienced in leading or implementing data governance programs in biotech, life sciences, clinical research, or other regulated data environments
• Deeply knowledgeable about data privacy, security, compliance frameworks, and regulatory expectations for research and clinical trial data
• A natural collaborator who can bridge scientific, technical, and compliance teams to align on data standards and best practices
• Detail-oriented and systematic — you understand that in regulated environments, precision isn't optional
• Self-directed and comfortable working independently in a remote, asynchronous environment Nice to Have
• Prior experience with data annotation, data quality assessment, or AI evaluation systems
• Familiarity with regulatory frameworks such as FDA 21 CFR Part 11, HIPAA, GDPR, or ICH E6 GCP
• Background in clinical data management, biostatistics, or research informatics
• Exposure to AI/ML data pipelines or life sciences technology platforms 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 to AI development that directly improves the quality and trustworthiness of biomedical research
• Gain exposure to advanced AI models and how high-quality governed data enables better science
• Potential for ongoing work and contract extension as new projects launch
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 a global scale? We're looking for a Biotech Health Data Governance Lead to ensure that research and clinical trial data is accurate, traceable, compliant, and ready to power scientific discovery, regulatory submissions, and advanced AI-driven analytics. This is a fully remote, flexible contract role built for experienced professionals in life sciences, biotech, or regulated data environments who want to do meaningful work on their own terms.
• 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 auditability for scientific analysis and regulatory submissions
• Define and enforce data policies covering classification, access, security, and metadata across research, clinical, regulatory, and partner teams
• Enable secure, governed access to data for analytics, innovation, and external collaborations while protecting confidential and patient-related information
• Collaborate with scientific, IT, compliance, and business stakeholders to align data standards and workflows across the organization
• Support AI model training initiatives by ensuring high-quality, well-structured, and compliant biotech data is available for evaluation and annotation workflows Who You Are
• Experienced in leading or implementing data governance programs in biotech, life sciences, clinical research, or other regulated data environments
• Deeply knowledgeable about data privacy, security, compliance frameworks, and regulatory expectations for research and clinical trial data
• A natural collaborator who can bridge scientific, technical, and compliance teams to align on data standards and best practices
• Detail-oriented and systematic — you understand that in regulated environments, precision isn't optional
• Self-directed and comfortable working independently in a remote, asynchronous environment Nice to Have
• Prior experience with data annotation, data quality assessment, or AI evaluation systems
• Familiarity with regulatory frameworks such as FDA 21 CFR Part 11, HIPAA, GDPR, or ICH E6 GCP
• Background in clinical data management, biostatistics, or research informatics
• Exposure to AI/ML data pipelines or life sciences technology platforms 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 to AI development that directly improves the quality and trustworthiness of biomedical research
• Gain exposure to advanced AI models and how high-quality governed data enables better science
• Potential for ongoing work and contract extension as new projects launch