3 of 3 Remote/Hybrid Time Series Analysis Jobs in the East of England

mentor and supervise junior team members and interns.You will;Design and improve deep learning and related machine learning forecasting models for large-scale retail time series.Build robust training and backtesting pipelines (time-aware CV, leakage controls, stability checks).Apply best practices for productionisation (monitoring, retraining strategies, performance … scalable, and deliver measurable business value.You will need: We are looking for ambitious individuals with a mix of statistics, programming skills and familiarity with time series analysis. A proven track record of designing and modifying advanced algorithms and applying them to large data sets is essential. Some project ...

imaging data and collaborate with pathologists and translational teams to interpret image-derived biomarkers and biological findings.Contribute to evaluation, validation, and benchmarking of image analysis algorithms and workflows.Perform tissue segmentation, cell phenotyping, feature extraction, and spatial analysis using state-of-the-art computational approaches.Stay current with advances … Data Quality, Data Science, Data Visualization, Deep Learning, Graph Algorithms, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Python (Programming Language), Stakeholder Engagement, Statistical Analysis, Time Series AnalysisSummaryLocation: Cambridge (USA)Type: Full time ...

Principal Scientist or Associate DirectorPosition Location: Cambridge, MA HybridKey responsibilities:Lead data science strategy and execution for hypothesis-driven discovery programs, including study design, analysis of experiments, and interpretation of complex biological datasets.Drive multi-omics analytics across genomics, transcriptomics, proteomics, single-cell, spatial, imaging, clinical, and other relevant data … discovery workflows, ensuring scientific rigor, data governance, and appropriate human oversight.Contribute hands-on technical work in scientific software development, data engineering, workflow automation, reproducible analysis, and scalable analytical pipelines.Partner cross-functionally with wet-lab scientists, translational researchers, platform teams, and senior stakeholders to shape experimental design and accelerate decision ...