Senior Director, Data and Information Marketplace Were building a connected, end-to-end Enterprise AI engine - uniting data foundations, AI technology, process reinvention, and business-facing AI to accelerate results across the whole value chain. Success depends on being exceptional
Job Overview: We are building a unified developer experience that helps machine learning engineers move from a trained model to an optimized, validated and deployable artifact on Arm-based systems. Our AI tooling will bring together model
Do you want to use your engineering skills to build agentic workflows that help find treatments for rare disease patients? About Healx Healx is an AI-powered tech bio company that is redesigning drug discovery. With 10,000
NVIDIA is seeking engineers to develop algorithms and optimizations for our LPX inference and compiler stack. You will work at the intersection of large-scale systems, compilers, and deep learning, crafting how neural network workloads map onto
Job Description SummaryThe mission of Novartis is to reimagine medicine, and our team advances that mission by applying advanced image analysis, computer vision, and AI methods to early drug discovery. We partner closely with experimental scientists,
Job Description SummaryThe Team Leader in Data Science, Disease Area X at Novartis will lead and contribute to high-impact data science programs that transform complex biological, translational, and multi-omics data into decision-driving insights for drug discovery. This role will
Job Description SummaryThe Associate Dir, Search & Eval (Platforms & AI) is responsible for identifying, evaluating, and prioritizing external AI-enabled technologies, platforms, datasets, models, and companies that can accelerate innovation across Novartis Biomedical Research and Development.
Job Description SummaryLocation: Cambridge or BaselOnsite Relocation is offered for this role. #LI-Onsite The Oncology Data Science team in Biomedical Research at Novartis works at the intersection of oncology drug discovery, computational biology, AI/ML, and data engineering. We