11 of 11 Statistical Analysis Jobs in Birmingham

on the efficiency of the estate against agreed Estates’ objectives and targets Undertake a variety of administration duties to support the team in the area of Space and data analysis Identify, collect and migrate space data to/from a range of internal and external systems Manipulate and link different data sets to inform space management activities and benchmarking … Interpret and apply the Estates data and information security standards, policies and procedures to data management activities Perform space database queries across multiple tables to extract data for analysis Perform routine statistical analysis for estates reporting and ad-hoc queries for space management activities Use a range of analytical techniques such as data mining, time series forecasting … and predict trends and patterns in space data Assist production of performance dashboards and reports Assist with data quality checking and cleansing Apply the tools and techniques for data analysis, data visualisation and presentation including Power BI Training The training will take place online with QA On completion of this apprenticeship, you may be able to progress into the More ❯

offering consultancy research services to academic, industry, and government partners. The centre provides expertise and advice in metabolomics research, from conception and experimental design through data acquisition to data analysis and biological interpretation. Role Summary Develop, implement, and apply advanced reproducible computational tools and workflows to process, analyse, and interpret large-scale LC–MS-based comparative metabolomics datasets. These … human cell lines, using multistage fragmentation (MSn) data and computational methods and approaches (e.g. spectral matching, network-based approaches, and machine learning techniques, etc). Design and apply robust statistical analysis strategies to uncover biologically meaningful patterns from complex metabolomics datasets, support hypothesis testing, and enable cross-species comparisons of metabolic responses to chemical exposures or other perturbations. … and machine learning). Generate and maintain high-quality documentation, including detailed scientific reports and user guides for developed tools and workflows. Troubleshoot and resolve challenges affecting data quality, analysis workflows, or research outcomes, working independently or in collaboration with colleagues. Ensure that all computational tools, workflows, and data outputs are robust, version-controlled, and reproducible, adhering to FAIR More ❯

welcoming environment, for everyone. Your skills and experience Capabilities in a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, GenAI, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.). Strong communication skills - able to compellingly present work to clients, disseminating complex information in an easy More ❯

Senior Developer with experience in large projects within a global team of developers and risk managers Ability to performance tune applications for optimal memory and CPU usage Proficiency in statistical analysis to identify trends and exceptions in Market Risk metrics Experience in building reports using SQL and data visualization tools like Tableau Web development skills for risk management More ❯

interfaces. WHAT WE LOOK FOR Senior Developer in large projects across a global team of developers and risk managers Performance tune applications to improve memory and CPU utilization. Perform statistical analyses to identify trends and exceptions related Market Risk metrics. Build internal and external reporting for the output of risk metric calculation using data extraction tools, such as SQL More ❯

interfaces. WHAT WE LOOK FOR Senior Developer in large projects across a global team of developers and risk managers Performance tune applications to improve memory and CPU utilization. Perform statistical analyses to identify trends and exceptions related to Market Risk metrics. Build internal and external reporting for the output of risk metric calculation using data extraction tools, such as More ❯

interfaces. WHAT WE LOOK FOR • Senior Developer in large projects across a global team of developers and risk managers • Performance tune applications to improve memory and CPU utilization. • Perform statistical analyses to identify trends and exceptions related Market Risk metrics. • Build internal and external reporting for the output of risk metric calculation using data extraction tools, such as SQL More ❯

will also be expected to undertake Data Science projects, including forecasting models, rapid feedback cycles, and advanced A/B testing. YOUR SKILLS AND EXPERIENCE Python SQL Experience using statistical analysis Modelling experience APPLY Register your interest by sending an email to Riversteytler@harnham.com or applying below. Please note our client cannot offer sponsorship More ❯

Hadoop, etc.) ML & Data Engineering pipelines Python with Django and Flask, Spark, Big-Data stack - Hive, Kafka & NoSQL ML Frameworks (like Keras or PyTorch) and libraries (like scikit-learn) Statistical Analysis and Fine-Tuning/Hyper-Tuning the models (like Spark-Trails, Optuna) Model Lifecycle management in ML Flow and Graph QL Feature Engineering CGI is required by More ❯

in chemical safety. Our Scientists also co-author research publications. We seek a proven researcher and team player who speaks our language, the language of 'omics and 'omics data analysis, applied to human or animal biology. Applicants should have a PhD (or equivalent level of expertise) focused on applying metabolomics or transcriptomics to either toxicology, human health/disease … or perturbation biology. The Scientist will be capable of performing reproducible computational and/or statistical analyses of 'omics data to address toxicological questions, applying their knowledge of R, Python or equivalent languages. They will review and incorporate insights from relevant scientific literature and databases to enable data analysis decisions and toxicological interpretation. Applicants should be motivated to More ❯

to develop integrated river network and drainage models, investigate the natural processes influencing the fate of contaminants, build ad-hoc assessment tools tailored to project specific needs and undertake statistical analyses. For those with related interests, there are many opportunities to get involved across our teams on activities such as hydrology, systems modelling, groundwater modelling, flood modelling and computational … and water quality processes. Expertise in industry standard software such as InfoWorks and/or MIKE11. Willingness to innovate. Able to guide and mentor junior staff. Coding skills and statistical foundations will be an advantage. Experience in source apportionment assessments, catchment management modelling or application of nature-based solutions to tackle pollution. We have secured major AMP8 frameworks with More ❯