Senior Machine Learning Engineer - Drug Discovery
CT19 · London Area, United Kingdom
Apply & track with Apply EdgeShape the future of AI drug discovery at a pioneering start-up who have just secured an impressive Seed round within a few months of being founded.You’ll have full control over your technical environment, access to world-class compute resources and proprietary biomedical data, and the freedom to shape your research agenda.From day one, you’ll have the tools, support and autonomy to push the boundaries of AI-driven biological research.Other benefits include:Private medical and dental coverageFlexible time off with no strict limitsAttendance to leading AI and biology conferences - fully fundedRegular team meals and an environment designed to support ambitious researchWhat you’ll doDefine the technical stack, research standards and engineering culture from the ground up. Design, train and evaluate deep learning models for high-dimensional biological data, including molecular and clinical datasets.Build robust training infrastructure that enables a small team to run ambitious experiments with speed and scientific discipline, alongside rigorous evaluation frameworks for biological prediction.You’ll also develop AI agents that can reason over biological data, generate hypotheses, design experiments, interpret results and improve through feedback.What you’ll needA deep understanding of machine learning fundamentals and experience building research-grade models.Experience with biological data, such as single-cell, transcriptomics, proteomics, imaging, EHR, clinical trial or other high-dimensional biomedical datasets.Comfort with ambiguity, the ability to move quickly and a willingness to take ownership of hard problems.About the companyAn AI biology startup developing foundation models and intelligent agents to advance our understanding of human disease and accelerate scientific discovery. The team brings together complex data across molecular, cellular and clinical scales to predict how biological systems respond to interventions and uncover insights that can inform new treatments.Reach out to mason@ct-19.co.uk for more information.