Overview
In this role you will design and implement threat-led detections to protect sensitive genomic and AI-driven data at scale. You will own detection development, collaborate with an MSP SOC, and drive automation and reporting to strengthen cloud and on-prem security. The position sits in a mission-driven biotech environment with autonomy and opportunities to shape security practices. You will work across teams to translate threat intelligence into effective, scalable defenses.
Pay / Benefits
- Hybrid / remote working options
- Flexible benefits package
- Opportunity to innovate and make an impact
- Small, fast-paced, highly collaborative team
- Contribute to precision healthcare using genomic data and AI
Responsibilities
- Design and develop threat-led detections using threat intelligence and hunting outputs
- Create novel analytic techniques for incident detection
- Collaborate with an MSP SOC to maintain and tune the detection catalogue
- Build automated reporting dashboards using Microsoft Sentinel workbooks
- Support security initiatives including ISO 27001 activities and KQL-based tasks
- Ensure monitoring coverage across cloud platforms, SaaS apps, and internal systems
- Contribute to documentation of processes, tools, and detection logic
Key requirements
- Previously worked as a Threat Detection Engineer or in a similar role
- Strong proficiency in KQL and hands-on experience with Microsoft Sentinel
- Familiarity with Microsoft Defender tools (Endpoint & O365)
- Exposure to Azure cloud logging and Kubernetes environments
- Knowledge of attacker TTPs and MITRE ATT&CK frameworks
- Proactive, collaborative, and innovative mindset
- proactive
- collaborative
- innovative mindset
- KQL
- Microsoft Sentinel
- Microsoft Defender tools
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