1 to 25 of 190 Statistical Analysis Jobs

support data-driven decision-making across the organization. You will collaborate closely with various stakeholders to identify business needs, design data models, perform statistical analysis, and present findings in a clear and concise manner. The ideal candidate has a strong analytical mindset, advanced data manipulation skills … efficient data models, databases, and reporting systems. Identify, analyse, and interpret trends or patterns in complex data sets to support strategic business decisions. Conduct statistical analysis and generate meaningful reports and visualizations to communicate findings effectively. Collaborate with cross-functional teams to define key performance indicators (KPIs ...

potential policy changes The LTEC programme is a strategically important, research initiative designed to address critical evidence gaps long-term, systematic data collection and analysis across 37 sites in England. The programme's success depends not only on data collection, but on robust statistical design and analysis … monitoring design, a key 2026/27 priority, ensuring that future data collection is efficient, targeted, and statistically robust. skills & requirements Key Tasks * Provide statistical leadership for the LTEC programme, undertaking complex statistical analysis to help meet its primary objectives. * Unlock the value of long-term datasets ...

leading process improvement initiatives that delivered measurable results. • Demonstrated experience applying Lean Six Sigma tools and techniques (e.g., DMAIC, value stream mapping, root cause analysis, statistical analysis, and control plans) to improve quality, cycle time, cost, and customer experience. • Experience developing process maps, standard operating procedures … construction, real estate, affordable housing, senior living, or property; management related industries. Experience in managing people. Experience using or configuring Smartsheet. Experience with statistical analysis software (e.g., Minitab) and workflow or process automation tools. Licenses/Certifications/Registrations(preferred but may not be required): • Lean Six Sigma ...

Opportunity: Statistical Programmer 6 Months (possible extension) Redwood City, CA (Hybrid) This position will be responsible for statistical programming and verification of Clinical Trial Data to produce high quality deliverables in a fast-paced environment. This person needs to consistently meet study timelines, quality standards and requirements … work closely and communicate effectively with internal team members, Statisticians, and other functional group members to best serve the deliverable need. In this position, Statistical Programmer is expected to: Provide Statistical Programming support either in the form of production or verification of SAS scripts and outputs for Analysis ...

that drive informed decision‐making for our clients. You will also work closely with clients to help shape their data strategy. Key responsibilities Data analysis and reporting : Conducting in-depth data analysis, generating reports, and providing actionable insights for client projects. Data and BI visualisation : Producing BI dashboards … etc. Client interaction : Collaborating with clients to understand their needs, translating these into analytical solutions, and presenting findings in a clear, actionable manner. Requirements Analysis and synthesis Application of analytical techniques : Proficiency in applying various analytical methods such as statistical analysis, data mining, and qualitative analysis. Ability ...

clients' needs. The role is very hands‐on and you'll support as a senior contributor role for a project, focusing on: Data analysis and reporting : Conducting in-depth data analysis, generating reports, and providing actionable insights for client projects. Data and BI visualisation : Producing BI dashboards using … that the wider context of a delivery is considered and maintain alignment between the operational and analytical aspects of the engineering solution. Key responsibilities Analysis and synthesis Application of analytical techniques : Proficiency in applying various analytical methods such as statistical analysis, data mining, and qualitative analysis. Ability ...

medical informatics, healthcare information technology, healthcare finance/revenue cycle data, or Electronic Health Record (EHR) data management is preferred. Technical & Analytical Expertise Advanced statistical analysis, including regression, statistical testing, probability/distribution concepts, and appropriate application of statistical methodologies. Machine learning methodologies, including clustering, decision … approaches, with an understanding of their practical strengths and limitations. Data science methodologies such as time-series forecasting, linear regression, A/B testing, statistical testing, clustering, predictive analytics, and related techniques. Advanced SQL and database management. Programming and statistical analysis tools used within modern data science ...

real weight with regulators, courts, customers and candidates, and the methodology behind them has to hold up. The role spans AI system evaluation, rigorous statistical analysis, synthetic data generation, and an applied understanding of hiring and selection procedures. You'll join a team with deep expertise in behavioral … social sciences, evaluation methodology, and structured bias testing. You'll need strong statistical and probabilistic reasoning: fluency with techniques like uncertainty quantification, experimental design, causal inference and Bayesian modeling. Just as essential is commercial instinct: the judgment to design rigorous, workable methods within real product goals and constraints, built ...

partners to understand needs Collaboration with Technical Teams – working closely to deliver effective solutions Dashboard Development – creating clear, accessible visualisations of data Data Analysis & Insight Generation – turning complex datasets into actionable intelligence You’ll be joining a busy, innovative and forward‐thinking team where flexibility, passion and curiosity … research methodologies and data collection approaches, with the ability to apply the right method in the right context; some experience in survey design and analysis Proven stakeholder engagement skills , maintaining effective working relationships with internal colleagues and external partners Excellent analytical ability , able to deliver insights quickly ...

Analytics (DSAA) team. This is a new role for a state-of-the-art individual contributor who thrives at the interface of computational science, statistical rigour, and drug development. You will execute and drive exploratory and confirmatory analyses across a rich variety of data types - from clinical trial data … apply novel computational methods for patient segmentation, biomarker discovery, and hypothesis generation from multimodal clinical and omics datasets, in partnership with Translational, Clinical, and Statistical Scientists Execute data science analyses on datasets from BMS clinical trials and real-world data cohorts, spanning genomics, proteomics, imaging, flow cytometry, and other ...

Analytics (DSAA) team. This is a new role for a state-of-the-art individual contributor who thrives at the interface of computational science, statistical rigour, and drug development . You will execute and drive exploratory and confirmatory analyses across a rich variety of data types — from clinical trial … apply novel computational methods for patient segmentation, biomarker discovery, and hypothesis generation from multimodal clinical and omics datasets, in partnership with Translational, Clinical, and Statistical Scientists Execute data science analyses on datasets from BMS clinical trials and real-world data cohorts, spanning genomics, proteomics, imaging, flow cytometry, and other ...

professional with strong analytical skills and the ability to work collaboratively with cross-functional teams. The ideal candidate will have experience in data visualization, statistical analysis, and data management. Responsibilities: Analyze large datasets to identify trends, patterns, and insights that drive business decisions. Develop and maintain dashboards … them into data-driven solutions. Ensure data accuracy and integrity by performing regular data validation and quality checks. Provide actionable recommendations based on data analysis to improve business performance. Stay updated on industry trends and best practices in data analytics and visualization. Qualifications: Bachelor's degree in Data Science ...

shaping the future of marketing technology — and actually enjoys doing it — you're in the right place. Find us on Instagram: @optimizely Introduction Rigorous statistical analysis is a core to all experimentation products at Optimizely. You will get on customer calls to articulate how we maintain statistical accuracy in our products as well as triage questions around statistical inference. You will educate internal and external stakeholders about fundamental as well as cutting edge statistics concepts via webinars, speaking engagements, blog posts, and white papers. You will also have the opportunity to work with our product ...

strategy, and evidence generation Represent DSAA in cross-functional program team meetings, providing authoritative scientific input and influencing development decisions through rigorous, data-driven analysis Advanced Analytics & Modelling Lead the development and application of novel computational methods for patient segmentation, biomarker discovery, and precision medicine from multimodal clinical …/ML, deep learning, NLP, causal ML, and explainable AI across multiple data modalities and clinical development contexts Lead application of rigorous statistical approaches to clinical trial data, including survival analysis, longitudinal/mixed-effects modelling, causal inference, and principled handling of missing data Data Engineering & Reproducibility Define ...

with demonstrable examples of problem statements or hypotheses through to analytical outputs. At least 3 years of intermediate-level experience with using SQL and statistical platforms (in an analytical context). At least 2 years of foundational-level experience with using Python and statistical analysis … with demonstrable examples of problem statements or hypotheses through to analytical outputs. At least 3 years of intermediate-level experience with using SQL and statistical platforms (in an analytical context). At least 2 years of foundational-level experience with using Python and statistical analysis ...

related quantitative field. 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree. Experience with Python, SQL, and statistical modeling. Experience working with generative … agents. Preferred qualifications: 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree. Experience in software development and source control methodologies. Experience working with cloud ...

data and data science. We address a broad spectrum of reliability problems where data-driven approaches can be applied, combining subject matter expertise with statistical, predictive, and generative AI/ML methods to improve reliability in ways that truly matter to our client's users and customers. In this … role, you will design statistical and machine learning tools, influencing engineering priorities and roadmaps in key areas like software rollouts and change management. You will have a direct impact on our Platform reliability, gaining deep knowledge of relevant engineering infrastructure and data assets to solve complex issues. Behind everything ...

client’s team in Central London. You’ll play a pivotal role in driving data-informed decision-making through advanced A/B testing, statistical analysis, and enterprise-level business intelligence solutions This is a client-facing position where you’ll work embedded within the client’s team … initiative, and the ability to represent CI&T professionally Design, implement, and analyze A/B tests to measure product and feature performance Apply statistical methods to ensure test validity and generate actionable insights Present findings and recommendations to stakeholders Design, build, and optimize semantic data models in Power ...

Develop reusable software frameworks, libraries, and tools to improve engineering efficiency. Write clean, well-documented, and testable code following established development standards. Measurement & Data Analysis Develop algorithms and data-processing routines to calculate, analyse, and visualise measurement results. Translate engineering requirements into automated measurement and analysis solutions. Validate … measurement algorithms and ensure accuracy and repeatability of results. Support statistical analysis and interpretation of test data. Test System Development Contribute to the design, integration, and commissioning of automated test systems. Support the specification, selection, and integration of measurement instruments and associated hardware. Participate in the design ...

Develop reusable software frameworks, libraries, and tools to improve engineering efficiency. Write clean, well‐documented, and testable code following established development standards. Measurement & Data Analysis Develop algorithms and data‐processing routines to calculate, analyse, and visualise measurement results Translate engineering requirements into automated measurement and analysis solutions Validate … measurement algorithms and ensure accuracy and repeatability of results. Support statistical analysis and interpretation of test data. Test System Development Contribute to the design, integration, and commissioning of automated test systems Support the specification, selection, and integration of measurement instruments and associated hardware. Participate in the design ...

generation through to evidence-based recommendations. Evaluate diverse structured and unstructured datasets to identify commercial opportunities. Establish and maintain high standards for data evaluation, statistical analysis, and technical excellence. Improve processes to increase the speed and accuracy of data source assessments. Partner with data acquisition teams to support … automation to enhance research quality and efficiency. Your Skills & Experience Strong commercial experience leading data science, data research, analytics, or statistical research teams. Deep expertise in statistical analysis, data modelling, and working with complex real-world datasets. Advanced Python and SQL skills with the ability to review ...

will help ensure compliance with industry regulations while driving excellence in quality monitoring and reporting. Key Responsibilities Lead monthly product quality monitoring activities, utilising statistical analysis and trending methodologies to identify emerging quality signals and product performance concerns. Develop, maintain, and enhance Power BI dashboards and reporting tools … support quality monitoring and business decision-making. Conduct detailed complaint investigations, trend analysis, and ad hoc data reviews to support product improvement and risk mitigation programmes. Support post-market surveillance activities, including trending analysis, product monitoring, risk reviews, and safety reporting requirements. Ensure compliance with quality management systems ...

Data Scientist to join our AI Data Science team. In this role, you will develop and apply advanced machine learning, generative AI, and statistical techniques to improve the intelligence, effectiveness, and reliability of Intermedia's digital agents. You will work on challenging problems involving large language models, retrieval, agent … completion, reliability, safety, and customer experience. Design offline and online experiments to compare models, prompts, retrieval strategies, agent configurations, and other AI approaches. Apply statistical analysis, hypothesis testing, segmentation, and other quantitative methods to evaluate AI performance and identify opportunities for improvement. Define appropriate metrics and benchmarks that ...

Description THE ROLE The Aerodynamic AI Engineer is part of a dedicated team leveraging data and artificial intelligence to enhance aerodynamic development, performance analysis, and operational efficiency within the Aerodynamics department. Reporting to the Lead AI Engineer, you will work on specialist projects that bridge aerodynamic engineering … requirements into practical AI solutions and communicating your findings with clarity and impact. WHAT YOU'LL DO Develop and deploy AI models for the analysis of CFD simulation data, extracting insights to support aerodynamic development decisions. Build advanced surrogate models for aerodynamic predictions, with a particular focus on fluid ...

Aerodynamic AI Engineer is part of a dedicated team leveraging data and artificial intelligence to enhance aerodynamic development, performance analysis, and operational efficiency within the Aerodynamics department. Reporting to the Lead AI Engineer, you will work on specialist projects that bridge aerodynamic engineering and AI — developing advanced machine learning … requirements into practical AI solutions and communicating your findings with clarity and impact. What you’ll do Develop and deploy AI models for the analysis of CFD simulation data, extracting insights to support aerodynamic development decisions. Build advanced surrogate models for aerodynamic predictions, with a particular focus on fluid ...