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.
• 5-7+ years of experience designing, developing, or managing machine learning systems, with a strong understanding of AI pipelines.
• Knowledge of designing AI systems with traceable training data, model lineage tracking, reproducibility, and audit trail integration.
• Experience designing secure MLOps pipelines using tools such as MLflow, Kubeflow, SageMaker Pipelines, or Vertex AI Pipelines.
• Familiarity with tools like SHAP, LIME, IBM AI Fairness 360, and Google’s What-If Tool to address AI model transparency and bias.
• Hands-on experience implementing security for AI/ML systems used in clinical research, genomics, drug discovery, diagnostics, or digital health.
• Demonstrated knowledge of adversarial machine learning techniques and defenses, including model evasion, poisoning, or inversion.
• Relevant credentials such as CISSP, CCSP, CISM, Certified AI Security Specialist, or GIAC certifications in machine learning and cloud security.
• Knowledge and application of responsible AI practices, AI ethics, model explainability, and governance frameworks such as NIST AI RMF or ISO/IEC 23894.
• Experience with AI/ML models applied to protein folding, biomarker discovery, clinical trial optimization, or personalized medicine.
• Ability to incorporate threat intelligence into AI risk assessments and apply it to proactive model defense strategies.
• Deep understanding of HIPAA, 21 CFR Part 11, GxP, GDPR, and other regulations impacting AI use in healthcare and biotechnology.
• Expertise in securing sensitive biomedical and genomic data, including anonymization, encryption, and privacy-preserving machine learning techniques.
• Proven ability to collaborate across security, legal, compliance, data science, and executive teams to influence AI risk and strategy.
• 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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