1 to 25 of 181 Permanent Statistical Analysis Jobs

personnel, overseeing all ongoing clinical studies, and planning the operational aspects of all new clinical studies. The Director will support Integrated Data Analytics and Statistical Programming in statistical analysis and oversee statistical programming activities for all clinical studies. The Director will also maintain the programming process … quality and timely deliverables. In addition, the Director will use their strong people management skills to provide direct line management to regular and contract statistical programmers. Essential Functions Oversee Clinical Analysis Reporting Leads for delivery and execution based on planned timeline and strategic goals. Critically review programming strategy … and timelines and impact on the clinical trials. Partner with Clinical Analysis Reporting Leads, respect their responsibilities, and constantly seek diverse perspectives. Encourage them to take educated risks and find new ways to solve problems. Collaborate with Biostatistics clinical and medical affairs , data science, regulatory, clinical development, medical writing more »

analytical models and strategies. You will collaborate with cross-functional teams to identify business opportunities, design experiments, and develop predictive models. Your expertise in statistical analysis, machine learning, and data visualization within the Data Science ecosystem will be instrumental in extracting meaningful insights from diverse datasets. This role … them into reusable architecture artefacts for the enterprise. Develop and deploy advanced machine learning models using Azure Machine Learning and open-source stack. Apply statistical analysis and hypothesis testing to validate model performance and ensure robustness. Coach, guide and nurture talent within data science team, fostering their growth … needs of the business. To liaise with business SMEs to achieve a common understanding of the business challenge, their needs, data requirements and expected Statistical modelling of data. Document methodologies, experiments, and results to ensure the reproducibility of analyses. About you Bachelor's or Master's degree in Data 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 »

Clinical Outcomes and Data Unit (CODU) as a Senior Data Scientist. The CODU's strategy is to improve patient outcomes through the robust selection, analysis, and visualisation of data. We work closely with colleagues across the trust to support the use of data in clinical and operational decision making. … We are experts in data visualisation, creating data analysis tools, and helping colleagues to use these tools in their daily work. You will be expected to work with the Analysts, Data Scientists and Statisticians within the team, working on projects with stakeholders throughout the Christie, extracting insights from data … many systems throughout the Trust, being one of the team's data experts, providing advice on the best approaches for data projects and explaining analysis performed to non-data experts in an approachable and easy to understand way Main duties of the job To support clinicians, researchers and non more »

data-driven insights that inform business strategy and decision making. The Insight Analyst will work cross-functionally to understand key business challenges and leverage statistical modeling, data analysis, and visualization best practices to provide solutions. Responsibilities:  Partner with stakeholders across the business to identify and frame key questions … that lend themselves to data-driven insights  Build, validate, and analyze statistical models using large, complex datasets to test hypotheses and reveal business insights  Design experiments leveraging A/B testing frameworks to quantify current initiatives and guide strategy  Analyze multivariate datasets using statistical programming languages like SQL … Python, and R  Communicate complex quantitative analysis in a clear, precise, and actionable manner to senior executives and key decision makers  Continually seek out ways to improve analytical methods and recommend enhancements supported by data Requirements:  3+ years professional experience conducting quantitative and statistical analysis  Expert skills more »

learn more about LexisNexis Risk at the link below, risk.lexisnexis.com About our Team: You will part of a small team assisting the business with statistical analysis and building predictive models for credit, fraud, and identity risk. About the Role: We are looking for a Data Scientist to conduct … statistical analysis and build predictive models for credit, fraud, and risk. The ideal candidate will have experience in data mining, statistical methods, and modelling/scoring techniques. They will balance day-to-day analytics assignments, research experiments and will contribute to the advancement of the global data … science group. Responsibilities Building and testing credit and fraud risk statistical models to be used by existing and new customers Providing complex analytical results in clear, simple messaging to evidence the value provided by our products Following modelling best practices and provide feedback on ways to enhance current processes more »

manufacturing, Experience with process design based on Lean Principles, Experience in Capital project management, Experience with concepts like system architecture, optimization, system dynamics, system analysis, statistical analysis, reliability analysis, and decision making, Experience must involve ownership/management of engineering design projects, Experience using business/ more »

Description: NOT A REMOTE POSITION The IT Data Analyst is primarily tasked with designing, generating, and analyzing ad hoc reports using statistical methodologies to bolster Prime Health Services' medical bill reduction products. This entails a keen focus on improving data quality and consistency, supported by in-depth statistical analysis. The role involves analyzing process controls, establishing common vocabulary, and conducting root cause analysis to fulfill program data requirements. The findings derived from statistical analysis are communicated to the Client Services Team for dissemination to current and prospective Clients. Moreover, the IT Data Analyst is … expected to possess a robust understanding of the claims adjudication process and apply statistical techniques when recommending courses of action, leveraging proprietary Prime Health Services (PHS) technologies. Reporting to the IT Data Analytics Manager, the IT Data Analyst collaborates extensively with Client Services, Sales, Account Management, and other departments more »

engineering, and who wants to play a significant role in a business that is constantly expanding. The Role: Justifying, defining and proposing project - cost analysis and dealing with stakeholders A multidisciplinary approach to mechanical, electrical, and chemical engineers' environment's product design and development Methods and analysis - statistical methodologies, Statistical analysis, modelling and simulation The Candidate Understanding of engineering processes, in particular systems engineering Critical thinker Experience of engineering design and problem solving Key words: R&D Engineer/Systems Engineering/Physics/Biochemistry/Flexible Working/Manufacturing/Engineering/Defence/ more »

engineering, and who wants to play a significant role in a business that is constantly expanding. The Role: Justifying, defining and proposing project - cost analysis and dealing with stakeholders A multidisciplinary approach to mechanical, electrical, and chemical engineers' environment's product design and development Methods and analysis - statistical methodologies, Statistical analysis, modelling and simulation The Candidate Understanding of engineering processes, in particular systems engineering Critical thinker Experience of engineering design and problem solving Key words: R&D Engineer/Systems Engineering/Physics/Biochemistry/Flexible Working/Manufacturing/Engineering/Defence/ more »

and manage data requirements collaboratively with business partners. • Develop, maintain, and optimize data models and databases to improve data accuracy, accessibility, and reliability. • Apply statistical analysis methods to interpret data trends, patterns, and correlations, and communicate insights and recommendations to business stakeholders. • Utilize advanced machine learning and AI … techniques to develop predictive models for improving business processes, customer experience, and operational efficiency. • Conduct exploratory data analysis to identify opportunities for data-driven decision-making and formulate hypotheses for testing. • Design and implement data visualization techniques to present complex data insights in a user-friendly and intuitive manner. … solving business challenges. • Provide technical guidance and mentorship to junior team members and contribute to knowledge sharing within the organization. • Maintain documentation of data analysis processes, methodology, and results to ensure replicability and transparency. What You Will Need • Bachelor's degree in computer science, data, statistics, mathematics, or a more »

business stakeholders, and shaping them into viable candidates aligned with strategic objectives. Develop and deploy advanced machine learning models using cloud-based platforms. Apply statistical analysis and hypothesis testing to validate model performance and ensure robustness. Coach, guide, and nurture talent within the data science team, fostering growth … models. Experience with cloud services like Azure ML studio, Azure functions, Azure Pipelines, Mlflow, Azure Synapse Analytics, etc., is a plus. Solid understanding of statistical analysis, hypothesis testing, and experimental design. Expertise in machine learning algorithms and frameworks. Strong problem-solving skills and the ability to translate business more »

reporting tools plus maintaining the existing ones up and maintain partnership with the third-party provider that enables self-serve data access ad-hoc analysis and insight per operational meetings be that shallow or deep dive data models and conducting statistical analysis YOUR SKILLS AND EXPERIENCE To … be successful when applying for this role you will need: with owning the data visualisation platform within Tableau experience in data mining, statistical analysis and predictive modelling experience using SQL to DBT, big query or other cloud data warehouses worked cross-functionally with a wide range of data more »

maintaining the existing ones Set up and maintain a partnership with the third-party provider that enables self-serve data access Perform ad-hoc analysis and insight per operational meetings be that shallow or deep dive Building data models and conducting statistical analysis YOUR SKILLS AND EXPERIENCE … be successful when applying for this role you will need: Experience with owning the data visualisation platform within Tableau Proven experience in data mining, statistical analysis, and predictive modeling Strong experience using SQL Exposure to DBT, big query, or other cloud data warehouses Previously worked cross-functionally with more »

+ Bonus Company Overview: Our client is a leading financial services firm specialising in algorithmic trading strategies. They leverage cutting-edge technology and quantitative analysis to drive innovation and deliver superior returns to their clients. As they continue to expand our trading operations, they are seeking a talented Quantitative … trends, and opportunities for alpha generation. Develop and implement algorithmic trading strategies across equities, futures, options, and other asset classes. Conduct backtesting and simulation analysis to evaluate the performance of trading models and optimize parameters. Collaborate with traders and developers to design and implement trading algorithms, including execution logic … needed to adapt to changing market conditions. Stay abreast of industry developments and emerging trends in algorithmic trading, quantitative finance, and machine learning. Perform statistical analysis and quantitative research to enhance trading strategies and improve risk-adjusted returns. Work closely with other members of the quant team to more »

LEAD DATA SCIENTIST £60,000 – 75,000 LEICESTER Work a crucial role within a customer focussed team, using predictive modelling and statistical analysis to provide insights that can affect this high growth retailer! THE COMPANY A UK renowned retailer within fashion going through a HUGE digital transformation and … successful candidate will have the following skills and experience: Strong SQL/R/Python with previous experience in data extraction, data manipulation and statistical analysis and model deployment Expert using visualisation tools such as PowerBI or Tableau to provide insights in an aesthetic visual deck Great communicator more »

protocol, SAP, study report development, and disclosure. Communicate effectively about the utility of RWE across the product lifecycle and drive use of study/analysis results to support internal and external decisions. Contribute to the communication of observational research results, including development of pertinent sections of regulatory documents, publications … RWE, including in support of early-stage clinical development, regulatory approvals, and/or safety commitments. Experience designing and conducting observational research, including protocol, statistical analysis plan, and study report development. Experience with secondary data analysis, including electronic medical record and/or medical claims databases, and … with statistical analysis tools, such as SAS and R. A track record of scientific publications demonstrating expertise in observational study design, analysis, and interpretation is preferred. Knowledge of the Oncology therapeutic area. Experience leading studies and projects in a matrix setting. Demonstrated ability to function with autonomy more »

You will manage and lead the Workforce Information Team in providing an efficient, effective and workforce information service to the Trust, and provide analytical, statistical, forecasting and modelling capability in order to meet the workforce planning needs of the Trust Reporting to the People Operations Lead, the Workforce Planning … information issues, managing and leading the Workforce Information Team in providing an efficient, effective and workforce information service to the Trust, and providing analytical, statistical, forecasting and modelling capability in order to meet the workforce planning needs of the Trust. About us At North Staffordshire Combined Healthcare NHS Trust … responsibilities Service Delivery Workforce Planning Lead on the production of workforce plans and information reports and appropriate documents Deliver a workforce planning and performance analysis function, including the design and production of workforce reports and completing external and internal workforce information returns Lead co-ordination of the Trusts annual more »

this would typically be co-ordinated with the support of a CRO, but knowledge of this process would be beneficial. Also, direct management and statistical analysis of analytical data sets (generated in-house) as well as verification planning and testing would be involved. Overall, efficient use, consistency and … many of the following as possible: Work experience gained through the development of a medical device, ideally an IVD; Experienced in the organisation and statistical analysis of data generated from clinical studies; Taken a medical device through V&V, with FDA and/or CE approval and launch more »

Proven experience liaising with key stakeholders and handling accounts in a media setting. Excellent experience and ability building models in Marketing Effectiveness ( MMM , Econometric Analysis , Statistical Analysis ). Ability to lead and mentor the analytics team, as well as knowledge of media data systems and disaggregate data more »

you will play a crucial role in supporting the financial operations of our catering and client services, ensuring accuracy and efficiency on all data analysis and subsequent recommendations. If you have a previous background in finance, excellent analytical skills, and previous experience within the hospitality or catering industry , we … including catering orders, sales records, customer feedback, and operational reports. Data Processing: Clean, pre-process, and organise data to ensure accuracy and consistency. Data Analysis: Utilize statistical techniques, data mining, and predictive modelling to extract meaningful insights from the data. Performance Tracking: Monitor key performance indicators (KPIs) such … as sales trends, customer preferences, order volumes, and profitability. Trend Analysis: Identify patterns and trends in catering data to anticipate customer demand, seasonal variations, and market trends. Forecasting: Develop forecasting models to predict future catering demands and optimize inventory management. Reporting: Prepare comprehensive reports and dashboards to communicate findings more »

Clinical Statistical Programmer; Global Pharma, Oncology - Remote - Permanent Proclinical is seeking a dedicated Clinical Statistical Programmer with a focus on Oncology. This is a remote permanent position. Primary Responsibilities: In this role, you will apply your biostatistics skills and experience to support the development of scientifically based arguments … part of our Global Biostatistics department, collaborating with multiple functional areas across the company. Skills & Requirements: Advanced degree (MSc or PhD). Proficiency in statistical programming, particularly SAS. Detailed knowledge of CDISC standards (SDTM, ADAM). Excellent communication skills, both written and verbal, with the ability to communicate complex … statistical concepts to non-statistical audiences. Ability to work effectively in a team environment and to manage multiple projects simultaneously. Attention to detail and the ability to prioritize tasks and meet tight timelines. The Clinical Statistical Programmer will: Support analysis and reporting on clinical projects. Collaborate more »

Skills Required Proficiency in GIS software such as ArcGIS, QGIS, or other relevant platforms is essential. Experience with spatial databases. Strong skills in spatial analysis, including spatial statistics, network analysis, geoprocessing, and geocoding. Experience in data management, including data acquisition, data cleaning, data integration, and data visualization. Proficiency … in data analysis techniques, including statistical analysis, machine learning, data mining, and predictive modelling. Experience with tools such as R, Python (including libraries like NumPy, Pandas, scikit-learn), MATLAB, or SAS is often necessary. Proficiency in cartographic principles and map design, including symbolization, thematic mapping, and layout more »

in creating meaningful and insightful data analytics used in executive decision-making at Stericycle. This role will have you utilizing various techniques such as statistical analysis and data mining, supporting, and developing the solutions and recommendations for the global commercial organization. The Senior Sales Operations Analyst is a … solutions to functional leaders based on the analytical trends and results found in the data and market trends. You’ll conduct data mining and analysis for ad hoc projects by leveraging exploratory data analysis and data visualization. You’ll support the design and maintenance of data and business … reports within a standard reporting application (i.e., SAP Business Objects, Cognos BI, SQL Reporting Services, etc.) and in creating ad hoc data marts for analysis using ETL tool (i.e., SQL, Alteryx, SSIS, etc.). You’re proficient in Excel and comfortable using other Microsoft Office products. Experience in service more »

data modelling. A strong problem solving mindset. Nice to have: Experience working with Radar. Previous experience in the Insurance industry. Responsibilities: Production of business analysis reports. Maintenance of analysis programs written in SAS, RADAR, and other software packages. Write new analysis code using SAS, RADAR, and other … EMBLEM, and other software packages. Monitor, maintain, update and improve existing predictive models. Produce timely and accurate information for management decision-making purposes. Apply statistical techniques including generalised linear modelling and non-linear methods to improve the performance of the company. Qualifications: Minimum 2:1 in a numerical undergraduate … discipline Strong background in statistical methods Experience of personal lines insurance analysis is an advantage Experience of SAS, Emblem, Excel and advanced statistical techniques Strong mathematical skills Strong problem-solving skills, with the ability to adopt a logical approach to solving problems Excellent data and statistical more »