7 of 7 Remote Chemistry Jobs

drug discovery or life sciences. Strong understanding of the drug discovery ecosystem and lab workflows. Proven success managing complex sales with technical and financial stakeholders. Scientific degree (preferably in chemistry or biology). Excellent communication, organisation, and CRM skills. Confident working independently across a technical customer base. This Sales Executive role is ideal for someone who thrives at the intersection More ❯

material discovered with our AI, giving it breakthrough real-world performance. We're looking for ambitious thinkers and builders; those excited by the challenge of bridging AI and industry, chemistry and computation, discovery and deployment. Our mission is to usher in an era where new, advanced materials are both discovered and engineered with AI and we'll use this to More ❯

Certified: Azure Administrator Experience with scripting, automation, or ticketing systems ABOUT THE COMPANY Our client is part of a well-established group of innovative science-based businesses that provide chemistry-led solutions for a better life today and a better world tomorrow. With a global customer base across more than 90 countries, they've built a reputation for excellence, innovation More ❯

Opportunity to travel both within the UK and potentially internationally. What we're looking for from you Currently studying for a degree in Physics, Mathematical Sciences, Engineering, Physical Sciences, Chemistry, Technology or Computing discipline. Our company: Peace is not a given, Freedom is not a given, Sovereignty is not a given. MBDA is a leading defence organisation. We are proud More ❯

team working on the next generation of sensor and monitoring technology. This is a hands-on, collaborative role involving experiment design, data analysis, sensor testing, and applied research across chemistry, physics, and data science. You’ll work closely with engineering, manufacturing, and data teams to validate new concepts, improve existing systems, and help shape new commercial products for global customers. … work in the UK, we cannot consider those on a work or temporary visa of any kind. Qualifications MSc or PhD in a relevant scientific or engineering discipline (e.g. Chemistry, Physics, Environmental Science, Engineering). Alternatively, strong applied research or instrumentation experience. Desirable Exposure to sensor development or IoT monitoring systems. Experience in environmental or water-quality research. Familiarity with More ❯

team working on the next generation of sensor and monitoring technology. This is a hands-on, collaborative role involving experiment design, data analysis, sensor testing, and applied research across chemistry, physics, and data science. You’ll work closely with engineering, manufacturing, and data teams to validate new concepts, improve existing systems, and help shape new commercial products for global customers. … work in the UK, we cannot consider those on a work or temporary visa of any kind. Qualifications MSc or PhD in a relevant scientific or engineering discipline (e.g. Chemistry, Physics, Environmental Science, Engineering). Alternatively, strong applied research or instrumentation experience. Desirable Exposure to sensor development or IoT monitoring systems. Experience in environmental or water-quality research. Familiarity with More ❯

looking for the Scientific Computing Center (SCC) for February 1, 2026, limited up to 3 years, for a Scientific Researcher (f/m/d) AI-Based Replacement of Chemistry-Climate Simulations with a Mathematical Focus on Model Understanding and Optimization PhD Position at Faculty of Mathematics 75 % part-time The Scientific Computing Centre (SCC) is a central scientific institution … innovation and provides comprehensive services within KIT and to external parties. This research project focuses on the application of AI models in Earth System Science (efficiently replacement of a chemistry-climate simulation from an Earth System Model (ESM) by an AI-based approach) and the development of mathematically rigorous methodes for interpretable AI modeling and systematic hyperparameter optimization. In detail … Development of a concept to replace the chemistry climate simulation of the ESM with a suitable AI model. This includes testing and selecting appropriate AI architectures (e.g., RNNs, CNNs, PINNs, Transformers), identifying relevant input features, applying dimensionality reduction techniques, and performing hyperparameter tuning (learning rate, number of layers, regularization strength). Training the AI model using a dataset from long More ❯