be a valued member of the Haematology and TYA quality team and work alongside one other Data Coordinator. Your role will involve the collation, analysis and reporting of data relating to treatment and outcome of patients within the haematology department. Main duties of the job This post will work … demonstrate excellent IT skills and a high level of competency in in all Microsoft packages, especially Excel. Although not essential, a science, mathematical or statistical related degree would be advantageous. If you are educated to a degree level with a computing qualification and have experience in working within clinical … meets the standards of quality expected for reporting to national and local commissioners and for use in national and international audit and research. Perform statisticalanalysis of transplant data to assess transplant outcomes, including overall survival and non-relapse mortality. Manage the reporting of transplantation outcomes and submit more »
duties of the job In this role you will be the subject matter expert and provide expertise/training and advice on all relevant statistical work to the CD team. Your responsibilities include: Responsible for co-ordinating, planning and reporting results of statistical analyses of complex data on … the clinical services directorate as well as outside the organisation as appropriate. Being a core member of the transformational projects teams as the primary statistical point of contact, helping to guide and develop project strategy and plans based on statistical findings associated with all areas of blood components. … Evaluating and generating innovative ideas, supporting, and contributing to the development of strategy and improved service delivery. Maintaining a thorough working knowledge of statistical practices used in association with blood component collection, manufacture, distribution, and use. Managing statistical research projects as required in line with the business plan. more »
expertise to maximise our impact using your knowledge, experience, and passion for your chosen field. The Data Scientist role requires expertise in machine learning, statisticalanalysis, anomaly detection, and strong communication and collaboration skills. Key responsibilities include developing innovative models, designing, applying, and optimising models in a dynamic … innovative outcomes. Utilising the latest advanced methods, they will embed analytics into the organisation to enhance fraud detection within the NHS. Clear communication of statistical outputs and results to non-technical stakeholders is crucial, influencing decisions like criminal intervention, policy changes, or risk metrics based on data-driven insights. … of line managing a team of analyst as part of a data science project. Knowledge and practical experience in designing algorithms including selection, using statistical and problem centric methods to design actionable outcome across a variety of data types. Proven practical experience and expertise in AI/machine learning more »
expertise to maximise our impact using your knowledge, experience, and passion for your chosen field. The Data Scientist role requires expertise in machine learning, statisticalanalysis, anomaly detection, and strong communication and collaboration skills. Key responsibilities include developing innovative models, designing, applying, and optimising models in a dynamic … innovative outcomes. Utilising the latest advanced methods, they will embed analytics into the organisation to enhance fraud detection within the NHS. Clear communication of statistical outputs and results to non-technical stakeholders is crucial, influencing decisions like criminal intervention, policy changes, or risk metrics based on data-driven insights. … of line managing a team of analyst as part of a data science project. Knowledge and practical experience in designing algorithms including selection, using statistical and problem centric methods to design actionable outcome across a variety of data types. Proven practical experience and expertise in AI/machine learning more »
Newcastle Upon Tyne, United Kingdom Hybrid / WFH Options
NHS Counter Fraud Authority
expertise to maximise our impact using your knowledge, experience, and passion for your chosen field. The Data Scientist role requires expertise in machine learning, statisticalanalysis, anomaly detection, and strong communication and collaboration skills. Key responsibilities include developing innovative models, designing, applying, and optimising models in a dynamic … innovative outcomes. Utilising the latest advanced methods, they will embed analytics into the organisation to enhance fraud detection within the NHS. Clear communication of statistical outputs and results to non-technical stakeholders is crucial, influencing decisions like criminal intervention, policy changes, or risk metrics based on data-driven insights. … of line managing a team of analyst as part of a data science project. Knowledge and practical experience in designing algorithms including selection, using statistical and problem centric methods to design actionable outcome across a variety of data types. Proven practical experience and expertise in AI/machine learning more »
and are able to provide clear examples of where your insights have driven positive business impact You are experienced in data preparation, exploratory data analysis (EDA) and feature engineering You can use machine learning tools and statistical techniques to produce solutions to business problems You can work closely … subject matter to non-technical stakeholders Minimum criteria: Advanced Analytics and Data Science experience Demonstrable experience delivering data science projects Strong data manipulation and statisticalanalysis skills Experience implementing Machine Learning algorithms and statistical models Expert user of one or more popular BI Tools eg Oracle Analytics more »
Quality Improvement qualification. Experience Essential Significant experience within an information environment Detailed knowledge of information requirements and standards within a healthcare environment. Experience of statisticalanalysis of highly complex information. Experience of using a structured project management approach to deliver projects within timescales. Experience of communicating complex issues more »
and appropriate reports to accurately report on delivery of key performance metrics, highlighting where programmes are off track for delivery agreed priorities. To provide statisticalanalysis and profiles of trends within performance information, to guide early warning of delivery challenges and support mitigating decisions. About us Provider collaboratives more »
and appropriate reports to accurately report on delivery of key performance metrics, highlighting where programmes are off track for delivery agreed priorities. To provide statisticalanalysis and profiles of trends within performance information, to guide early warning of delivery challenges and support mitigating decisions. To further develop Transformation more »
to promote a positive working environment. Reporting of equipment and software faults to the Operations Manager. Providing relevant information and data to management for statisticalanalysis and reports. Facilitate the assessment and implementation of new policies, procedures or practices, resulting from evidence originating from both within and outside more »
