“Technical Program Manager role at Isomorphic Labs in Cambridge, MA, focused on AI-driven drug discovery. Requires experience in small molecule program management, hybrid work (3 days/week), and collaboration with interdisciplinary teams. Competitive salary and benefits expected.”
“Isomorphic Labs seeks a Candidate Experience Coordinator in Cambridge, MA to manage end-to-end recruitment processes, ensure exceptional candidate journeys, and optimize hiring workflows. Hybrid role (3 days/week in office). Focus on data integrity, scheduling, and process improvement. No compensation details provided.”
“Staff Software Engineer role at Isomorphic Labs in London, focusing on AI-driven drug discovery. Requires expertise in ML workloads, Kubernetes, GCP, and NVIDIA GPUs. Hybrid work model (3 days in-office). Mission to solve diseases with AI.”
“Senior Toxicology Lead role at Isomorphic Labs in Cambridge, MA, applying AI to drug discovery. Requires Ph.D. in Toxicology/Pharmacology, board certification, and IND/CTA filing experience. Hybrid work model (3 days/week in office). Focus on predictive toxicology and regulatory strategy.”
“Full-time Research Engineer role at Isomorphic Labs in London, focusing on optimizing LLM performance for drug discovery. Requires experience with distributed training, PyTorch/JAX, and GPU architectures. Hybrid work model (3 days in-office).”
“Integration Engineer role at Isomorphic Labs in London for deploying, securing, and scaling internal tools and applications. Requires Kubernetes, CI/CD, security scanning, IaC, and SSO expertise. Hybrid work model (3 days/week in office). Focus on AI-driven drug discovery and interdisciplinary collaboration.”
“Research Scientist role at Isomorphic Labs in London applying Large Language Models (LLMs) to drug discovery. Requires PhD in ML/CS or equivalent, expertise in LLM architectures, and interdisciplinary collaboration. Hybrid work model (3 days in-office). Focus on cutting-edge AI-driven scientific breakthroughs.”
“Isomorphic Labs seeks a Machine Learning Research Engineer in London to develop AI models for drug discovery. Role involves implementing, optimizing, and evaluating state-of-the-art ML models (e.g., Transformers, GNNs) in a collaborative, interdisciplinary team. Requires strong ML engineering skills, PhD or equivalent experience, and hybrid work model (3 days/week in office).”
