9 Contract Statistical Analysis Jobs with Remote Work Options

Job summary EMAS is looking for a proactive analytical individual to support the Non-Emergency Patient Transport Service in undertaking analysis and performance reporting to support service improvement. Key skills include SQL, Power BI, Statistical Analysis and being able to present information in an easy to understand … with opportunities to work across the range of service areas the team support. The post holder must be an expert in the collection, manipulation, analysis, interpretation, and presentation of information, contributing to the provision of timely and quality management of information to support cost-effective and responsive NEPTS services … to identify trends, exceptions, problems, good practice, and areas of concern for all levels of management, providing recommendations where appropriate; To deliver data and statistical analysis to meet operational management and performance management needs of the NEPTS, as for other services provided by the Trust as required. Ensure more »

late phase trials, and from simple to complex interventions. You will be involved in all aspects of study design, protocol development, database design, and statistical analysis. You will work in collaboration with clinical teams, and be given the opportunity to co-author conference abstracts and peer-reviewed journal papers … holder will be part of the Research Data and Statistics Unit (RDSU), which provides expert support and advice relating to the full range of statistical and analytical aspects of the Trust's clinical research programmes. The focus of the role is involvement in all aspects of study design, protocol … development, database design, data handling, trial management and statistical analysis. The majority of the time will be spent on the analysis of research data, ensuring that the appropriate statistical techniques are used, and presenting and explaining the results to users in a clear, comprehensible manner. The post more »

Job summary The Principal Data Scientists demand exceptional expertise and practical experience in machine learning, statistical analysis, and fraud detection. They must possess excellent communication and collaboration skills and be experts in detecting fraud using statistical methods and disseminating all products, including fraud detection models, into a … control and implementation to guidance, leadership, and direction of the team. oProven practical experience in fraud detection methods using data including the implementation of statistical modelling and methods into a live production environment oPractical experience in designing algorithms, using statistical and problem centric methods to design actionable outcome … across a variety of data types. oExtensive practical experience in data science including the implementation of statistical modelling in a real-world environment oExperience and strong proficiency in programming languages for data science, e.g., SQL, R and Python alongside the ability to use tools and packages such as Alteryx more »

Job summary The Principal Data Scientists demand exceptional expertise and practical experience in machine learning, statistical analysis, and fraud detection. They must possess excellent communication and collaboration skills and be experts in detecting fraud using statistical methods and disseminating all products, including fraud detection models, into a … control and implementation to guidance, leadership, and direction of the team. oProven practical experience in fraud detection methods using data including the implementation of statistical modelling and methods into a live production environment oPractical experience in designing algorithms, using statistical and problem centric methods to design actionable outcome … across a variety of data types. oExtensive practical experience in data science including the implementation of statistical modelling in a real-world environment oExperience and strong proficiency in programming languages for data science, e.g., SQL, R and Python alongside the ability to use tools and packages such as Alteryx more »

Job summary The Principal Data Scientists demand exceptional expertise and practical experience in machine learning, statistical analysis, and fraud detection. They must possess excellent communication and collaboration skills and be experts in detecting fraud using statistical methods and disseminating all products, including fraud detection models, into a … control and implementation to guidance, leadership, and direction of the team. oProven practical experience in fraud detection methods using data including the implementation of statistical modelling and methods into a live production environment oPractical experience in designing algorithms, using statistical and problem centric methods to design actionable outcome … across a variety of data types. oExtensive practical experience in data science including the implementation of statistical modelling in a real-world environment oExperience and strong proficiency in programming languages for data science, e.g., SQL, R and Python alongside the ability to use tools and packages such as Alteryx more »

in data engineering. oExperience/understanding of data lifecycle management frameworks and project management methodology. oExperience in technologies relating to Data Science, for example: statistical analysis, machine learning, or natural language processing. oExperience with relational SQL and databases. oExperience with Azure cloud services. oMaster's degree, in relevant more »

in data engineering. oExperience/understanding of data lifecycle management frameworks and project management methodology. oExperience in technologies relating to Data Science, for example: statistical analysis, machine learning, or natural language processing. oExperience with relational SQL and databases. oExperience with Azure cloud services. oMaster's degree, in relevant more »

in data engineering. oExperience/understanding of data lifecycle management frameworks and project management methodology. oExperience in technologies relating to Data Science, for example: statistical analysis, machine learning, or natural language processing. oExperience with relational SQL and databases. oExperience with Azure cloud services. oMaster's degree, in relevant more »

in Data Engineering, including understanding of databases, data retrieval via query languages like SQL or Kusto, and experience with data management, data visualization, and statistical analysis. If this role is of interest, please do apply with your latest CV for an immediate review more »