.Location: Barcelona Day Rate: €500 TechNET-IT is working with a leading organisation in the global pharmaceutical and biotechnology industry, currently seeking a Regulatory Subject Matter Expert (SME), Data & AI to join their dynamic team.
This is an exciting opportunity to play a crucial role in ensuring compliance with regulatory requirements while leveraging data and AI in the development of life-changing therapies.
Key Responsibilities: Regulatory Guidance: Provide expertise on global regulations and guidelines (FDA, EMA, MHRA) related to the use of data and artificial intelligence in pharmaceutical research, development, and commercialisation.
AI & Data Compliance: Ensure AI models, machine learning algorithms, and data governance processes adhere to regulatory and ethical standards.
Cross-Functional Collaboration: Work closely with data science, IT, clinical, and regulatory teams to ensure seamless integration of AI and data strategies in drug development and patient safety processes.
Regulatory Submissions: Support the preparation and review of regulatory submissions that involve AI-driven processes or data use.
Monitoring & Reporting: Keep abreast of changes in regulatory requirements related to data and AI, and ensure compliance with evolving standards.
Risk Management: Identify potential compliance risks related to AI and data use, and propose mitigation strategies.
Handover & Training: Collaborate with internal teams to ensure understanding and adherence to regulatory requirements and best practices for data and AI use.
Key Requirements: Experience in Regulatory Affairs: Proven experience in regulatory roles within the pharmaceutical, biotech, or healthcare industry, particularly with a focus on drug development, clinical trials, and regulatory submissions.
AI & Data Knowledge: Solid understanding of data science, machine learning, and AI technologies, particularly as applied to pharmaceuticals or healthcare.
Educational Background: Degree in life sciences, regulatory affairs, data science, computer science, or a related field.
Additional certifications in regulatory affairs and/or AI/data governance would be an advantage.
Pharmaceutical Experience: Previous experience working in large-scale pharma, biotech, or healthcare companies, particularly in projects involving AI and data.
Regulatory Expertise: Deep knowledge of international regulatory frameworks (FDA, EMA, MHRA, GDPR, etc.)
and compliance standards related to AI and data usage.
Strong Communication Skills: Ability to translate complex regulatory and technical requirements into clear guidance for cross-functional teams.
Problem-Solving Ability: Skilled in identifying and addressing regulatory challenges in AI and data initiatives