1 to 25 of 56 Statistical Analysis Jobs

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 ...

data warehouse data, to develop and maintain analytic datasets, clinical measures, reports, dashboards, and other data products. The position requires strong SQL and data analysis skills, an ability to understand complex clinical workflows and data structures, and the judgment to assess data quality and communicate limitations clearly to clinical … system characteristics, and known limitations to support reproducibility and appropriate interpretation of results. Support research and quality-improvement initiatives through data extraction, cohort development, statistical analysis, and analytic consultation. Identify opportunities to improve the availability and quality of clinical data, including collaboration with clinical informatics and data-management ...

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 ...

C++, Python, and Lua • Perform advanced Test Engineering assignments and activities with the ability to demonstrate initiative to improve methods. • Analyze test results using statistical analysis tools and use findings to drive continuous improvement • Collaborate with design and manufacturing teams to understand product requirements • Participate in design … power supplies, oscilloscopes, signal generators, and source measure units. • Familiarity with version control systems (e.g., Git, SVN) for managing test software and configurations. • Data analysis and statistical modeling skills (e.g., SPC, capability analysis, yield analysis) to support continuous improvement. • Experience with hardware testing, debugging, and troubleshooting ...

diverse range of research projects. The Data Scientist I works collaboratively with statisticians, researchers, methodologists, software developers, and subject matter experts to develop statistical, data science, and computational solutions that improve research, operational efficiency, and decision-making. This role combines strong foundations in data management, statistical modeling, machine … structured and unstructured data, survey data, administrative records, commercial data, text data, and other novel data sources. Responsibilities may include developing analytical workflows, building statistical and machine learning models, creating data products and applications, and evaluating AI approaches for research and operational use. The ideal candidate possesses strong Python ...

genomics. This is an exciting opportunity to work within a multidisciplinary environment, tackling complex biological data challenges and contributing to the development of advanced statistical and computational approaches that support scientific discovery and innovation. Key Responsibilities Lead statistical and bioinformatics analysis projects, delivering meaningful insights from complex … biological datasets. Develop and enhance statistical methodologies and computational algorithms. Apply machine learning and artificial intelligence techniques to research and product development initiatives. Collaborate closely with laboratory scientists to support experimental design, data analysis, and interpretation. Analyse, process, and interpret Next Generation Sequencing (NGS) and other high-throughput ...

45.00hr - $55.00hr Job Overview: The organization is seeking a Lean and Automation Engineer to personally perform process studies, time studies, waste assessments, and bottleneck analysis to identify improvement and automation opportunities. The role involves developing evidence-based opportunity assessments, presenting initiatives to the Site Leadership Team, and owning approved … projects from analysis through solution build, training, implementation, and sustainment while ensuring compliance with GMP and FDA requirements. Responsibilities: Personally perform process studies, time studies, waste assessments, and bottleneck analysis to identify improvement and automation opportunities. Develop evidence-based opportunity assessments covering the baseline, expected operational and financial ...

reasonable and necessary on a temporary or permanent basis. Job description Job responsibilities Analytical & Judgmental Skills Makes judgements involving highly complex data, statistics and analysis and leverages knowledge and skills in analytical delivery to do this. Willingness to learn use of analytical toolsets to facilitate this process … choose an appropriate toolset and output method for the required situation. Learning to perform complex statistical analysis, including statistical techniques such as correlation and forecasting.Planning and Organisation Support team to manage daily workload by monitoring submission deadlines and other FOI and ad hoc information requests. Monitor inbox ...

Master's degree in industrial, manufacturing, mechanical engineering, or a related technical discipline is required. Lean Manufacturing, DMAIC, Value Stream Mapping, SMED, OEE improvement, statistical analysis, Root Cause Analysis, and hands-on process analysis. Ability to identify opportunities, develop business cases, quantify benefits, and build practical workflows … implements solutions that reduce waste and improve manufacturing performance - not a facilitator or meeting coordinator. You will personally bring approved projects to life through analysis, solution development, automation build, training, implementation, and sustainment. Success is measured by high-quality opportunities identified, approved projects implemented, Finance-validated benefits delivered ...

insights that help the organization drive decision making Designing data modeling processes, creating algorithms and predictive models, and performing ad hoc/exploratory data analysis to support data-driven decision making, including use of advanced analytics techniques such as predictive modeling and machine learning Ensuring data governance and quality … analytic tools such as SQL, Python, R, and Databricks Proficiency in Microsoft Suite, especially MS PowerPoint, MS Word, and MS Excel Prior experience with statistical analysis, predictive modelling, machine learning, and artificial intelligence What Would Be Nice To Have : Collaborating and working in a team environment, as well ...

insights that help the organization drive decision making Designing data modeling processes, creating algorithms and predictive models, and performing ad hoc/exploratory data analysis to support data-driven decision making, including use of advanced analytics techniques such as predictive modeling and machine learning Ensuring data governance and quality … analytic tools such as SQL, Python, R, and Databricks Proficiency in Microsoft Suite, especially MS PowerPoint, MS Word, and MS Excel Prior experience with statistical analysis, predictive modelling, machine learning, and artificial intelligence What Would Be Nice To Have : Collaborating and working in a team environment, as well ...

insights that help the organization drive decision making Designing data modeling processes, creating algorithms and predictive models, and performing ad hoc/exploratory data analysis to support data-driven decision making, including use of advanced analytics techniques such as predictive modeling and machine learning Ensuring data governance and quality … analytic tools such as SQL, Python, R, and Databricks Proficiency in Microsoft Suite, especially MS PowerPoint, MS Word, and MS Excel Prior experience with statistical analysis, predictive modelling, machine learning, and artificial intelligence What Would Be Nice To Have : Collaborating and working in a team environment, as well ...

with multidisciplinary stakeholders What you'll bring 3 to 5 years of substantial experience and in-depth knowledge of data science Strong data science, statistical analysis and data modelling skills Advanced Python for analysis, automation and model development Strong SQL, including work with large datasets Experience building … maintaining data pipelines and data products Experience building machine learning and predictive models Dashboard and visualisation expertise, particularly Tableau The ability to turn complex analysis into actionable business insight Agile/Scrum experience Strong communication and stakeholder engagement skills Nice to have NLP and text analytics Knowledge of consumer ...

quality standards, governance practices, and reporting best practices. Partner with leadership teams to define key performance indicators (KPIs) and operational metrics. Support root cause analysis activities by combining telemetry, operational, and business data sources. Contribute to continuous improvement initiatives by identifying automation opportunities and reducing manual reporting processes. Document … Data Lake, or related cloud data technologies. Experience creating executive dashboards and operational reporting solutions. Knowledge of machine learning, anomaly detection, predictive analytics, or statistical analysis techniques. Experience working with large-scale telemetry, operational, or IoT datasets. Familiarity with DevOps practices, CI/CD pipelines, and GitHub Actions. ...

cross-sector innovation and academic communities What skills & qualifications you will need: Degree in a numerate subject (e.g. Mathematics, Statistics) Proven experience in statistical analysis and data science, ideally within the water industry or similar sectors Strong programming skills in Python, R, and SQL Experience working with cloud ...

recommend solutions. Collecting, preparing, cleansing, and analysing data from multiple sources. Building skills in: Data Science and Analytics Machine Learning and Artificial Intelligence Statistical Analysis Data Engineering Fundamentals Data Visualisation and Storytelling Programming and Automation (e.g. Python, SQL) Supporting the development and testing of predictive models and analytical … improvement of analytical solutions. What You Will Learn Throughout the apprenticeship, you will gain experience and knowledge in: Data collection, preparation, and management techniques. Statistical methods and hypothesis testing. Programming languages such as Python and SQL. Machine learning concepts and model development. Data visualisation and storytelling techniques. Exploratory ...

insights that influence strategy and drive measurable outcomes. Key responsibilities include: Leading advanced analytics and data science projects from concept through to delivery. Applying statistical modelling and analytical techniques to identify trends, drivers and opportunities. Developing prototypes, use cases and analytical frameworks to solve business challenges. Transforming complex datasets … Analytics Management roles. Excellent Python skills (essential). Experience with R and/or SAS is desirable but not mandatory. Strong understanding of statistical analysis, modelling and data-driven decision making. Experience within the pharmaceutical, biotechnology or life sciences Ability to communicate complex analytical findings to senior stakeholders. ...

supporting sales, marketing, and operational business initiatives Partner directly with business stakeholders to translate ambiguous business requests into actionable data solutions Perform exploratory data analysis, feature engineering, model selection, validation, tuning, and performance optimization Work with existing enterprise-scale cloud and big data environments to support scalable analytics initiatives … building machine learning and predictive models from the ground up Experience working with large-scale datasets and distributed data processing environments Strong understanding of statistical analysis, forecasting, predictive modeling, and machine learning methodologies Experience operating within cloud-based analytics ecosystems (AWS, Azure, or GCP) Proven ability to work ...

governance, cyber-security and clinical-safety requirements. Experience managing capacity, performance, refreshes, gateways, licensing and cost; resolving production incidents and defects through root-cause analysis and continual improvement. Experience translating stakeholder needs into governed data products, with strong analytical, problem-solving and operational judgement. Experience coaching colleagues, developing team … Azure data services, Microsoft Purview, Power Platform, Microsoft 365 or related technologies, including migration of legacy reporting or data workloads. Experience supporting forecasting, statistical analysis, machine learning or responsible AI use cases. Experience developing governed self-service analytics, data literacy or a reporting centre of excellence, and improving ...

statistics, and contributing to working groups developing information capability to support effective decision making. Main duties of the job Provide reports, data and analysis to support managers, service planning and monitoring groups. Provide specialist statistical analysis of service use data and quality metrics to identify trends, developments … relational database theory Knowledge of Acute Hospital information systems (e.g. PAS) Knowledge of Community Services information systems (e.g. EMIS Web Community) Knowledge of statistical publication, monitoring and metrics Ability to read, comprehend and advise on national policy and guidance Knowledge of NHS quality/governance systems e.g. CQC Skills ...

recommend solutions. Collecting, preparing, cleansing, and analysing data from multiple sources. Building skills in: Data Science and Analytics Machine Learning and Artificial Intelligence Statistical Analysis Data Engineering Fundamentals Data Visualisation and Storytelling Programming and Automation (e.g. Python, SQL) Supporting the development and testing of predictive models and analytical ...

machine learning and AI models (e.g., predictive models, NLP, computer vision, recommender systems). Explore, cleanse, and transform large structured and unstructured datasets Conduct statistical analysis, experiment design, feature engineering, and model evaluation. Build scalable data pipelines and automate model training and inference processes. Collaborate with engineering teams ...