8 of 8 Statistical Modelling Jobs in Oxfordshire

or related field. Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch). Experience with bioinformatics tools (e.g., Biopython, RDKit). Strong knowledge of statistical models, deep learning, and data preprocessing. Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker). Strong problem-solving and communication skills. Desirable More ❯

or related field. Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch). Experience with bioinformatics tools (e.g., Biopython, RDKit). Strong knowledge of statistical models, deep learning, and data preprocessing. Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker). Strong problem-solving and communication skills. Desirable More ❯

large image datasets Knowledge of modern data warehousing and data lake technologies Practical experience with Python, R, and ML frameworks (PyTorch and Tensorflow) and statistical methods Linux system administration AWS and GCP administration Experience with GPU cluster and Linux server administration Desirable PhD in medical image analysis Working knowledge … of the DICOM standard, volume reconstruction, 3D rendering techniques, statistical modelling Experience with AI model training pipelines and architectures (transformers, diffusion models etc) Understanding of fundamental statistical concepts (p-values, effect sizes and confidence intervals) Experience with MLOps methodologies Experience with version control (e.g. GitLab, DVC) Experience More ❯

reporting, and handling operational datasets; ability to adapt quickly to technical challenges. Proficiency in Excel, PowerQuery, SQL, and Power BI; experience with Python and statistical modeling is advantageous. Quick learner of new tools and technologies; familiarity with Azure Data Factory and building data pipelines is a plus. Confidence in More ❯

management. Proven experience in data analysis, reporting, and operational datasets; adaptable to technical challenges. Proficiency in Excel, PowerQuery, SQL, and Power BI; Python and statistical modeling experience is advantageous. Quick learner of new tools; familiarity with Azure Data Factory and data pipelines is a plus. Ability to present complex More ❯

AI/ML services (Azure ML, Databricks, etc.). Big Data & Cloud Platforms - Strong understanding of data architecture, cloud solutions, and real-time analytics. Statistical & Predictive Modelling - Deep knowledge of statistical methods, machine learning algorithms, and AI techniques relevant to large-scale operational environments. Data Visualisation & BI More ❯

AI/ML services (Azure ML, Databricks, etc.).Big Data & Cloud Platforms - Strong understanding of data architecture, cloud solutions, and real-time analytics.Statistical & Predictive Modelling - Deep knowledge of statistical methods, machine learning algorithms, and AI techniques relevant to large-scale operational environments.Data Visualisation & BI - Ability to convey insights More ❯

to design data-driven experiments and interpret results. Use bioinformatics software and databases to uncover insights into disease mechanisms and potential therapeutic targets. Apply statistical models and computational methods to identify biomarkers, drug targets, and other key biological insights. Stay up-to-date with the latest bioinformatics techniques, software … . Solid understanding of genomics, transcriptomics, proteomics, and other omics data. Familiarity with cloud platforms (AWS, GCP, Azure) and high-performance computing. Experience with statistical analysis, machine learning, or data visualization tools (e.g., R, MATLAB, Jupyter). Strong communication skills to collaborate across teams and present findings to both More ❯