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Isomorphic Labs

Isomorphic Labs

www.isomorphiclabs.com

2 Jobs

245 Employees

About the Company

Isomorphic Labs is a new Alphabet company and commercial venture which aims to reimagine the entire drug discovery process from first principles with an AI-first approach, and, ultimately, to model and understand some of the fundamental mechanisms of life.

Using computational advances, we're working at the cutting edge in the new era of 'digital biology'. By significantly increasing the pace of scientific research and efficacy of new medicines, we will be at the forefront of breakthroughs that will benefit millions of people.

Listed Jobs

Company background Company brand
Company Name
Isomorphic Labs
Job Title
Senior Security Engineer
Job Description
**Job title:** Senior Security Engineer **Role Summary:** Design, implement, and manage security for AI‑driven drug discovery platforms and HPC infrastructure. Serve as a T‑shaped security lead overseeing architecture, IaC hardening, CI/CD security, threat modeling, incident response, zero trust IAM, compliance automation, and tooling development. **Expectations:** - Stakeholder collaboration on security requirements across product, DevOps, and compliance teams. - Demonstrated ability to balance maximal security with rapid AI research velocity. - Ownership of end‑to‑end security lifecycle from design to continuous improvement. **Key Responsibilities:** 1. Conduct security reviews and threat modeling for evolving AI/HPC platforms. 2. Collaborate with DevOps/SRE to harden cloud infrastructure via IaC, policy‑as‑code, and network/VPC design. 3. Evaluate and secure third‑party AI, cloud, and SaaS integrations. 4. Implement automated security controls in CI/CD pipelines. 5. Act as L2/L3 escalation point for incidents and complex vulnerabilities. 6. Deploy and maintain Zero‑Trust IAM and least‑privilege access mechanisms. 7. Bridge technical controls and regulatory frameworks (GDPR, GxP, EU AI Act) using CSPM/automation. 8. Develop or integrate internal tooling to automate repetitive security tasks. 9. Manage full lifecycle of security controls: requirements, testing, rollout, and data‑driven improvement. **Required Skills:** - Deep knowledge of cloud security (GCP preferred): VPC, IAM, network hardening, native security services. - Infrastructure‑as‑Code security: Terraform/CloudFormation, Policy as Code. - CI/CD security: pipeline automation, scanning, and hardening. - Threat modeling, risk assessment, and remediation planning. - Incident response – L2/L3 – vulnerability remediation. - Zero‑Trust architecture and IAM implementation. - Compliance automation (GDPR, GxP, EU AI Act, CSPM). - Programming/scripting (Python, Bash, or similar). - Strong analytical, problem‑solving, and communication skills. **Required Education & Certifications:** - Bachelor’s or Master’s degree in Computer Science, Cybersecurity, or related field. - Relevant security certifications (e.g., CISSP, CISM, GCP Professional Cloud Security Engineer, or equivalent).
London, United kingdom
On site
Senior
07-03-2026
Company background Company brand
Company Name
Isomorphic Labs
Job Title
Senior Machine Learning Engineer
Job Description
**Senior Machine Learning Engineer** **Role Summary:** Apply machine learning expertise to develop cutting-edge models for drug discovery, collaborating with interdisciplinary teams to advance AI-driven drug design. **Expectations:** - Partner with ML research, drug design, and data engineering teams to build and optimize large-scale models. - Design scalable software and libraries for ML experimentation. - Develop tools to enhance model performance and robustness in production. - Take end-to-end ownership of drug discovery tools from prototyping to deployment. - Iterate with domain experts to refine requirements and integrate feedback. **Key Responsibilities:** - Build and evaluate ML models (e.g., JAX, PyTorch, TensorFlow) for therapeutic drug discovery. - Architect and scale ML infrastructure to support experiments across thousands of accelerators. - Collaborate with scientists to translate biological challenges into ML solutions. - Optimize model scalability, efficiency, and integration into production platforms. **Required Skills:** - Advanced ML model development (Python mandatory). - Proficiency in ML frameworks (JAX, PyTorch, TensorFlow). - Full lifecycle ML R&D (prototyping to production). - Strong software engineering skills (design, architecture). - Deep understanding of ML theory, data structures, and algorithms. **Required Education & Certifications:** - Bachelor’s degree in Computer Science or related technical field (or equivalent experience).
London, United kingdom
On site
Senior
13-03-2026