2 of 2 Remote Machine Learning Jobs in Saffron Walden

generating and analysis of datasets, including millions of cells across multiple tissues and conditions (e.g., disease, healthy). This involves a detailed understanding of the training of large-scale ML models and a track record of undertaking large data-science projects. What you'll be doing: Independently manage and lead machine learning projects and write outcomes in a … well as foundational data that helps us understand biological processes and disease progression more deeply . You will work within an interdisciplinary team of life scientists and computer/ML scientists, with a shared objective of advancing biological research through these foundational models. This role will sit within the AI/ML Faculty group led by Dr. Mo Lotfollahi, and … Science, Computational Biology, Genetics, Bioinformatics, Physics, Engineering, or Applied Statistics/Mathematics) Proven experience using advanced statistical techniques, machine learning, and modern deep learning techniques. Previous ML work experience in scientific/academic environment (RA/Internships are considered as work experience) Strong knowledge of Python, including core data science libraries such as Scikit-Learn, SciPy, TensorFlow More ❯

annotating eukaryotic genomes with transcript structures and other genic features. Your responsibilities will include: Pipeline and workflow development for large-scale genome annotation Software development and automation Integration of machine learning and big data approaches Community engagement to support large collaborative projects Strategic development of the next generation of Ensembls world-class data services As part of this … the future of genome annotation. We are looking for an individual with: Strong expertise in genome annotation, bioinformatics, or computational biology Experience in pipeline development, high-performance computing, or machine learning Leadership experience in managing projects, teams, or large-scale collaborations Excellent communication and stakeholder engagement skills Ensembl Genebuild is part of the Eukaryotic Annotation Team, led by More ❯