Descrição da Função

Your New Company
Leading multinational biopharmaceutical company, it has played a pioneering role in the biotechnology industry, leveraging cutting-edge science and technology to discover, develop, manufacture, and deliver innovative human therapeutics. The company focuses on serious illnesses with significant unmet medical needs, particularly in oncology, cardiovascular disease, inflammation, bone health, and rare diseases. 

Your New Role

• Design and enforce enterprise-level AI/ML security architectures for platforms used in drug discovery, genomics, clinical data analysis, and diagnostics.
• Ensure security best practices are applied from data acquisition, model training, and validation to deployment, monitoring, and decommissioning.
• Lead AI-specific threat modeling to address risks such as adversarial attacks, data poisoning, model inversion, and intellectual property leakage.
• Ensure alignment with healthcare and biotech regulations (e.g., HIPAA, GDPR, 21 CFR Part 11, GxP) and contribute to AI governance and ethical risk frameworks.
• Architect secure, scalable MLOps pipelines that enable model reproducibility, auditability, version control, and automated security validation.
• Act as a trusted advisor to R&D, clinical, data science, and infrastructure teams, providing guidance on secure AI design and deployment.
• Evaluate and integrate AI security tools and frameworks for monitoring, explainability, data privacy, and adversarial robustness.
• Experience securing containers and orchestrators (Docker, Kubernetes) in AI environments, including runtime security and policy enforcement.
• Conduct formal reviews of AI system designs, ensuring alignment with enterprise cybersecurity strategy, architectural standards, and zero-trust principles.
• Proficiency in automating security through IaC tools like Terraform, AWS CloudFormation, and CI/CD integration (GitHub Actions, Jenkins, etc.).
• Influence enterprise AI security strategy by tracking industry trends, emerging threats, and innovations in synthetic biology, generative models, and AI biosecurity.
• Domestic and International travel up to 10%.

What you need to succeed

• Bachelor’s or Master’s degree in Computer Science, Engineering, IT or a related field.
• 7+ years of experience in enterprise security architecture, including designing and implementing secure systems across large-scale, cloud-based environments.
• Strong knowledge of cloud security, container security, identity and access management, zero trust principles, network security, and secure application design.
• Knowledge and understanding of HIPAA, EU AI Act, GxP, GDPR, and other regulations impacting AI use and their application in enterprise environments.
• Ability to design and enforce data protection strategies, including DLP, data classification, encryption, anonymization, and/or privacy-preserving technologies.
• Familiarity with securing AI/ML systems, with a focus on risk management, governance, and integration into enterprise security posture.
• Understanding of secure DevOps/MLOps principles and how they align with enterprise security standards.
• Knowledge of threat modeling, risk assessments, and integration of threat intelligence into enterprise security strategies.
• Relevant credentials such as CISSP, CCSP, CISM, or equivalent enterprise security certifications. AI-specific certifications are a plus but not required.
• Ability to collaborate across security, legal, compliance, data science, and executive teams to influence AI risk evaluation and strategy.
• Familiarity with AI-focused security and compliance standards and guidelines, such as OWASP Top 10 for LLMs and NIST AI Risk Management Framework.
• Experience in implementing enterprise end-to-end AI pipelines in a cloud environment using Python, TensorFlow, and/or PyTorch is a plus.
• Experience in implementing security for AI/ML or designing secure MLOps pipelines using tools such as MLflow, Kubeflow, SageMaker Pipelines, or Vertex AI Pipelines is a strong plus.
• Fluency in English.

What the Company can offer you

• Bonus
• Car Allowance
• Shares
• Meal Allowance
• Health Insurance 
• Flex Benefits 
• Flexible Work model 

Next Steps
If you're interested in this opportunity, please send us your updated CV.
If you're looking for a different kind of professional challenge, feel free to reach out to discuss other career opportunities — always in complete confidentiality.

Contacto

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