Security Engineer (Corporate Security), London

In this role you will build and strengthen a scalable corporate security posture to enable rapid, secure AI-driven drug discovery. You will safeguard identity and data, implement practical security controls, and partner with researchers and engineers to keep systems resilient. You’ll drive automation and AI-enabled security workflows, shaping secure processes across tools and integrations. This is a mission-driven opportunity to protect cutting-edge science while enabling fast innovation in a collaborative culture. You’ll join an interdisciplinary team pursuing ambitious health breakthroughs through AI.

• hybrid working

• Design, optimize, and support corporate IAM structures and onboarding/offboarding workflows
• Audit systems and deploy/maintain security tools (logging, monitoring, DLP, data labeling, AI agents)
• Collaborate on data governance within corporate systems (Google Workspace, Confluence, Jira, Slack)
• Partner with Detection & Response engineers on incident triage and response
• Promote security awareness and run security training and social engineering exercises
• Coordinate Workplace security with other teams for physical security and lab equipment
• Translate user needs into operational security processes and SOPs for tool onboarding and data transfers
• Execute vendor and software audits and advance SSPM maturity
• Leverage AI/tools to automate security tasks and optimize triage
• Assist internal teams as a security enablement contact to reduce friction while maintaining high security

• Fluency navigating complex multi-org corporate systems workflows
• Experience with Atlassian and/or Google tech stacks
• Ability to translate user needs into SOPs, policies, and guidelines
• Strong foundation in Corporate Systems Security and IAM (SSO, user lifecycle, directory structures)
• Proficiency in Python, Go, or PowerShell to interface with REST APIs across SaaS ecosystems (Slack, Google Workspace, Okta)
• Knowledge of SSPM and tools like AppOmni, Adaptive Shield, or native SaaS log analysis
• Experience implementing DLP controls, data classification/labeling, and data governance frameworks
• Experience conducting vendor security assessments
• Experience incident response and alert triage
• Bias toward automation and interest in AI-assisted security workflows
• Strong communication and collaboration with tech and non-tech stakeholders

• Proactive
• User-oriented
• Collaborative
• IAM
• SSO
• DLP