1 to 5 of 5 Permanent Statistical Learning Jobs in England

research. Position Summary: The Director of Bioinformatics and Computational Biology will lead a team of computational biologists and data scientists, focusing on cutting-edge statistical learning algorithms and probabilistic modelling. The role involves strategic input on positioning and differentiation of new technologies and leading development through to clinical … Leadership & Strategy: Lead the bioinformatics and data science team towards achieving critical innovation aligned with strategic goals. Foster a culture of collaboration, excellence, continuous learning, and constructive feedback among the team members. Ensure all projects have clear, well-motivated, measurable goals aligned with leadership’s long-term objectives. Research … partnerships across teams and departments, both internally and externally. Engage actively with multiple departments, playing a catalytic role at the intersection of bioinformatics, machine learning, and domain-specific challenges. Present findings, share knowledge, and communicate complex ideas effectively to various stakeholders. Maintain a track record of publications, talks, and more »

are looking for a quantitative researcher with experience of working within systematic equity or macro strategies, ranging from stat arb, event driven, or machine learning techniques. The ideal candidate will have experience in alpha research, systematic equity or macro strategies, be willing to join a collaborative setup and be … large data sets Conduct original quantitative alpha signal research (through ML/NLP techniques, stat arb or event driven) Combine sound financial insights and statistical learning techniques to explore, analyze, and harness a large variety of datasets in order to build strong predictive models which will be deployed more »

/analysis, model implementation and back testing for systematic global equities strategies with intraday or medium-frequency holding periods Combine sound financial insights and statistical learning techniques to explore, analyze, and harness a large variety of datasets in order to build strong predictive models which will be deployed more »

still interested in seeing people from this background. The ideal candidate will have some good experience in AI research in an academic environment, building statistical learning theory and a familiarity of artificial intelligence algorithms and or theoretical science. The role: * Designing and implementing experiments to test hypotheses in more »

still interested in seeing people from this background. The ideal candidate will have some good experience in AI research in an academic environment, building statistical learning theory and a familiarity of artificial intelligence algorithms and or theoretical science. The role: * Designing and implementing experiments to test hypotheses in more »