Machine Learning Engineer

Overview

In this role you will develop and deploy ML models to tackle challenges in disordered proteins, with a focus on NMR data, within a pioneering research organisation. You will work in a small, autonomous team and translate self-generated data into actionable insights. Collaboration with scientific teams will shape experimental approaches, and you’ll influence research directions in an open-source environment. This is a chance to contribute to cutting-edge drug discovery with meaningful impact.

Pay / Benefits

• collaborative open-source environment
• competitive salary package
• potential sponsorship
• four days on-site
• state-of-the-art facility
• government funding support

Responsibilities

• Develop and implement ML models for complex biological data, especially disordered proteins
• Collaborate with scientific teams to interpret data and refine experiments
• Tackle real biological problems with practical, applied modelling
• Drive projects independently within a small, open-source environment
• Translate scientific challenges into effective computational solutions
• Influence research directions through data-driven insights

Key requirements

• Degree or higher in Computer Science, Data Science, Bioinformatics or related field with applied ML experience
• Industrial experience developing ML solutions in biological/biochemical research
• Strong understanding of disordered proteins, protein dynamics, and NMR limitations
• Ability to work independently and influence research in small autonomous teams

• independence
• collaboration
• analytical thinking
• machine learning
• biological data analysis
• NMR data awareness

…