Research Scientist – Generative AI and Chemical Engineering

Monolith

full-time

Posted on: 9/20/2025

Origin: • 🇬🇧 United Kingdom

✨ AI Apply

Mid-LevelSenior

CloudPythonPyTorchTensorflow

About the role

Lead and execute research projects focused on applying Gen AI to solve complex chemical engineering problems such as molecular design, reaction optimisation, and process simulation.
Develop, refine, and implement machine learning models for applications including materials discovery, catalyst design, and process automation.
Engage with multidisciplinary teams of data scientists, engineers, and clients to translate scientific concepts into deployable AI systems.
Publish and present research outcomes to internal stakeholders and the wider scientific and engineering community.
Stay at the forefront of advancements in Gen AI, chemical modelling, and process simulation, proactively identifying opportunities for innovation.

PhD or equivalent research experience in chemical engineering, computational chemistry, or a related scientific field.
Strong background in machine learning, especially in generative models (e.g. GANs, VAEs, diffusion models) applied to chemical or materials domains.
Proficient in programming and data analysis using Python, PyTorch or TensorFlow, and common cheminformatics or molecular simulation software.
Excellent analytical, problem-solving, and communication skills—able to share complex concepts with technical and non-technical audiences.
Proactive approach to autonomous work as well as effective collaboration in diverse, multi-disciplinary teams.
Experience with generative AI for molecular or material property prediction, retrosynthesis planning, or chemical process optimisation (desirable).
Knowledge of cloud technologies and scalable ML/AI pipelines (desirable).
Published research or patents in generative AI, computational chemistry, or chemical engineering (desirable).
Participation in open-source communities, AI competitions, or relevant professional societies (desirable).