Requirements

• Fluency in navigating complex multi-org corporate systems’ workflows and processes.
• Experience with Atlassian’s and/or Google’s tech stacks.
• Proficiency in collecting user needs and business requirements, turning high-level guidance into efficient SOPs, policies, and guidelines documents.
• Strong foundation in Corporate Systems Security and IAM, including hands-on experience with SSO, user lifecycle management, and directory/group structures.
• Proficiency in basic Python, Go, or PowerShell to interface with REST APIs across SaaS ecosystems (Slack, Google Workspace, Okta).
• Knowledge of SaaS Security Posture Management (SSPM), and ideally, experience using tools like AppOmni, Adaptive Shield, or native SaaS log analysis to spot misconfigurations.
• Experience implementing Data Loss Prevention (DLP) corporate controls, data classification/labeling, and corporate data governance frameworks.
• Practical experience establishing or executing standardized vendor technical security assessments.
• Background in supporting security incident response and handling daily security alert triage.
• A strong bias for automation and an eagerness to leverage AI tools or agentic scanning mechanisms within corporate security workflows.
• Proactive, positive, and highly user-oriented mindset with exceptional communication skills to collaborate with technical and non-technical stakeholders alike.

Nice to haves

• Experience in high-growth tech environments, BioTech, ML-centric companies, or the pharmaceutical industry.
• Familiarity with OWASP Top 10 for LLMs, prompt injection prevention, and secure integration of internal AI assistants.
• Hands-on experience building or integrating AI-driven automation, agentic workflows, or custom scripts for security operations.
• Understanding of security patterns for Electronic Lab Notebooks (ELNs), Laboratory Information Management Systems (LIMS), or High-Performance Computing (HPC) environments.
• Familiarity with GitHub Enterprise security settings, secret scanning, and developer environment hardening.
• Familiarity with common data protection regulations and security frameworks (e.g., GDPR, ISO 27001).
• Relevant industry certifications (e.g., Security+, CISSP, CISA, GSEC).

What you'll be doing

• Design, optimize, and support corporate Identity & Access Management (IAM) structures, including group architectures, identity system integration, and streamlined employee onboarding/offboarding workflows.
• Audit corporate systems security and deploy/maintain a wide range of security tools such as logging, monitoring, DLP, data labeling, and AI agents.
• Enhance data governance and security within corporate systems (Google Workspace, Confluence, Jira, Slack, etc.) by gathering user needs and co-developing scalable operating models, configurations, and SOPs.
• Partner with Detection & Response security engineers to improve and triage corporate security alerts, support incident response efforts, and address vulnerabilities and bugs.
• Promote corporate security rules, support security awareness training, and run social engineering exercises.
• Collaborate with Workplace and Tech teams to ensure physical workplace security including badges, lab workstations, and offices.
• Translate user needs and security compliance requirements into clear operational processes such as workflows for onboarding new tools, data transfers, and external system integrations.
• Execute standardized vendor and software audits, improve SaaS Security Posture Management, and address third-party integrations and supply-chain safety risks.
• Leverage AI tools and agentic workflows to automate routine security tasks, optimize triage, and streamline operations.
• Act as a positive, proactive point of contact for internal teams, delivering user-oriented security solutions that reduce friction while maintaining high security standards.

Perks and benefits

• Be part of an interdisciplinary team driving groundbreaking innovation to advance human health and drug discovery using AI.
• Collaborate within an inspiring and supportive culture guided by values such as thoughtfulness, bravery, determination, and teamwork.
• Work in a hybrid environment requiring attendance in office three days a week to foster knowledge sharing and strong relationships.
• Commitment to equal employment opportunities and accommodations for disabilities or additional needs.
• Opportunity to contribute meaningfully to a mission of solving all disease with AI.