Machine Learning Engineer (Life Sciences)

Implement state-of-the-art models and techniques, including deep learning architectures and foundation models. Diagnose model performance issues, analyze sources of error and design strategies to mitigate them. Work with scientific and biological data (e.g. molecular structures, protein sequences, omics datasets) to contribute to projects in drug discovery, life sciences and healthcare. Design and run experiments, critically evaluate results and communicate findings through clear, data-driven reports. Deploy, maintain and upgrade ML models and pipelines. Stay up to date with the latest research and tools.