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on our mission to shape the future of clinical development. Develop data analysis solutions for complex business problems in collaboration with biostatisticians and statistical programmers, using tools such as R Shiny or Python-based web applications. Ensure technical validity, compliance to the sponsor's standards, SOPs and regulatory requirements. Test, debug and optimize applications to ensure that they work as … plans. Bachelor or Master of Science degree or equivalent in Statistics, Computer Science, Mathematics, Engineering, Life Science, or related field. at least 6 years of programming experience (3+ for R, R Shiny) in analyzing and visualizing clinical trial data in the pharmaceutical industry, producing deliverables for submission. Advanced statistical computing software skills (e.g., SAS, R and R Shiny Framework) in … environment across multiple therapeutic areas, thorough understanding of relational databases and their correlation to submission-ready database structure (CDISC data structure requirements). Demonstrated programming experience and proficiency with R, R Shiny, tidyverse packages and R Markdown in building advanced R packages and modular Shiny apps (or other development stack). Excellent knowledge of Good Programming Practices and CDISC standards. More ❯

Role: R & Shiny Engineer Work location : Stevenage (Preferred),London Hybrd ,minimum 2 days per week Role/Job Title: R Admin Must Have Skills: R R Package Development Kubernetes Docker Azure DevOps The Role Your Responsibilities: Establishing and maintaining central repositories for R packages Working with development teams to facilitate package development and deployment Configuring and managing package sources, including … mirrors and custom repositories Ensuring the availability and accessibility of packages to users Ensuring packages are well-documented and adhere to organizational standards Potentially building and publishing internal R packages Resolving and managing package dependencies to ensure a consistent and reliable analytical environment Installation of R and Frozen R packages Creation of R compute environments using Docker Your Profile Essential … Skills/Knowledge/Experience: R Package Management R Package Installation Docker and Kubernetes Good to Have: SAS Domino (hands-on) Azure DevOps Python GitHub Databricks (hands-on) Agile Scrum Desired Experience Range: 6 8 years More ❯

Join a sponsor-dedicated team and contribute to the advancement of in-house study activities over time. As the R Programming Lead , you will provide technical expertise to the Statistical Programming team, ensuring the delivery of high-quality solutions that meet both internal and external requirements. Responsibilities • Develop internal and external R packages for clinical trial analysis ( ADaM, tables, figures … listings). • Validate R packages. • Lead implementation in R and train other Biostatistics team members. • Conduct statistical programming work of clinical data using R. • Identifies problems and develops global tools that increase the efficiency and capacity of the Statistical Programming group. • Create and/or validate all safety and efficacy study output requirements (e.g. ADaM, TLFs ) consistent with data definitions … accuracy -thus submission readiness -of clinical data as required by authorities (i.e . SDTM, ADaM, tables, figures, listings , define.xml). Experience and Qualifications Minimum 5+ years of experience in R programming for clinical trial data including developing and validating R packages from CRO or Pharmaceutical Industry. Strong programming skills in R/R Shiny Proven experience in applying R and More ❯

data science, and data modeling. Proven experience in building and maintaining enterprise-level data models. Strong working knowledge of data lineage and data dictionary management. Proficiency in SQL, Python, R, or other data science tools and frameworks. Experience leading data or analytics teams and mentoring junior staff. Strong communication and stakeholder management skills. Working experience of below skill sets- Data More ❯

data science, and data modeling. Proven experience in building and maintaining enterprise-level data models. Strong working knowledge of data lineage and data dictionary management. Proficiency in SQL, Python, R, or other data science tools and frameworks. Experience leading data or analytics teams and mentoring junior staff. Strong communication and stakeholder management skills. Working experience of below skill sets- Data More ❯

BI, Looker, or similar) Strong Excel skills, including pivot tables, advanced formulas, and data modelling Understanding of statistical concepts and data visualisation principles Optional: Programming experience in Python or R for data analysis Business Acumen Ability to learn core business metrics across departments and ability to translate the requirements into business insights with the support of the leadership team Experience More ❯

Why We Work at Dun & Bradstreet Dun & Bradstreet combines global data and local expertise to help clients make smarter decisions. With 6,000+ people in 31 countries, we are a team of diverse thinkers and problem solvers who all share More ❯

Notebooks, Visio, SharePoint, Confluence, or other visualization/documentation tools. Experience working with APIs, including integration and data extraction. Knowledge of version control systems such as GitHub. Proficiency in R programming is a plus. Bachelor's degree in Business Analytics, Statistics, Data Analytics, Computer Science, Information Systems, or a related field OR 4+ years of relevant data analysis experience in More ❯

Demonstrated ability to analyze A/B testing data and identify trends, anomalies, or correlations. o Proficiency in at least one programming or data query language (e.g., SQL, Python, R, Scala, SAS). o Strong collaboration and communication skills, especially with cross-functional teams. • Preferred: o Familiarity with the Federally Facilitated Marketplace (FFM) and/or health insurance industry. o More ❯

experience supporting solutions implemented in DoD. Experience in statistical modeling. Experience with Power BI, Power Query, Power Automate, Power Apps, MS Excel, Python, and SQL. Experience using Python or R packages and libraries (e.g., scikit-learn, pandas, plotly, shiny, etc.) to develop predictive analyses and machine learning models. Preferred Experience: Preferred: Experience with cloud computing/storage, data lakes/ More ❯

Business Analyst - Credit Research page is loaded Business Analyst - Credit Research Apply locations London, United Kingdom time type Full time posted on Posted 2 Days Ago job requisition id R-121573 A GLOBAL FIRM WITH A DIVERSE & INCLUSIVE CULTURE As the Global Asset Management business of Prudential, we're always looking for ways to improve financial services. We're passionate More ❯

below, we'd love to hear from you. Experience working with data: wrangling, cleaning, and transforming datasets for analysis. Familiarity with tools such as Alteryx, DataRobot, SAS, Databricks, SPSS, R, Python, Scala, Java, or Spark. Exposure to data visualisation platforms like Tableau or Power BI. Understanding of machine learning concepts and algorithms (e.g. classification, clustering, regression). Interest in or More ❯

research, data science, or equivalent experience 2+years work experience in data science, working in a commercial setting orin consulting Experiencewith Machine Learning and statistical modelling techniques Strongprogramming skills in R and/or Python Experienceapplying advanced analytics and Machine Learning to solve businessproblems Experiencewith data visualization software/libraries (Tableau, PowerBI) Comfortworking both on a team and autonomously Strongwritten and More ❯

to advanced education in Data Science, Computer Science, Statistics, Mathematics, or related fields. Proven experience in data science, advanced analytics, or quantitative analysis Strong programming skills in Python or R, with experience in data analysis libraries (pandas, scikit-learn) SQL proficiency for data querying and manipulation. Proficiency with data visualization tools (e.g., Microstrategy, Tableau) or dashboarding in Python (e.g., Plotly More ❯

experience in simulation modelling Familiar with machine learning concepts, methods, and tools Understanding and working knowledge of capacity & supply chain planning Working knowledge of programming/scripting languages (Python, R, or similar More ❯

below, we'd love to hear from you. Experience working with data: wrangling, cleaning, and transforming datasets for analysis. Familiarity with tools such as Alteryx, DataRobot, SAS, Databricks, SPSS, R, Python, Scala, Java, or Spark. Exposure to data visualisation platforms like Tableau or Power BI. Understanding of machine learning concepts and algorithms (e.g. classification, clustering, regression). Interest in or More ❯

law and that we are upholding our values and ethics in how we use data. Skills and Knowledge Analysis of structure, semi-structured and unstructured data Programming - SQL, Python, R, Julia AI/ML ethics Understanding of Data Governance concepts and best practice Quick understanding of business problems and requirements A willingness to learn new skills and adopt to new More ❯

the data under analysis. Robust knowledge of statistical concepts, accompanied by expertise with a set of analytical tools ranging from databases (e.g. SQL, BigQuery, noSQL) to programming languages (e.g. R, Python), and from data visualisation (e.g. Tableau, PowerBI) to machine learning. Understanding data engineering solutions is a plus. Strong experience in MLOps, including model lifecycle management, CI/CD for More ❯

ability to work with large datasets and draw meaningful conclusions. Proficiency in SQL and at least one data visualisation tool (e.g. Power BI, Tableau, Looker). Experience with Python, R, or similar for data analysis is a strong plus. Familiarity with databases. Also, cloud platforms (AWS preferred) is a plus. Excellent communication skills - able to explain complex data concepts to More ❯

SQL Server, Oracle, MySQL) Familiarity with ETL processes and data warehousing concepts Experience in data modeling and designing effective reporting structures Knowledge of programming languages such as Python or R for data manipulation and analysis Strong analytical and problem-solving skills, with attention to detail Excellent communication and interpersonal skills for collaborating with cross-functional teams Requirements achelor's degree More ❯

and product improvement. End-to-end implementation of data science pipelines. Experience and QualificationsKnowledge/Skills Expertise in tools such as SQL, Azure Data Factory, Azure Databricks, Azure Synapse, R, Python and Power BI. Exceptional ability to communicate strategic and technical concepts to a diverse audience and translate business needs into technical requirements Experience of liaising effectively with Data Engineers More ❯

Looking For: Proven experience as a Data Scientist or in a similar analytics role (gaming, betting, or consumer apps is a big plus) Strong skills in SQL, Python or R, and data visualisation tools (e.g., Tableau, Power BI) Experience with statistical analysis, predictive modelling, and segmentation techniques Understanding of user behaviour analytics, retention metrics, and A/B testing Bonus More ❯

closely with developers, engineers, and fellow data experts. What You Bring Proven experience as a Data Scientist in a large-scale or public sector setting. Strong programming skills: Python, R, SQL, and ideally knowledge of Scala, Java, or C++. Deep familiarity with the Microsoft technology stack - including Azure Data Factory, Synapse, Databricks, Power BI, Azure ML. Sound understanding of machine More ❯

closely with developers, engineers, and fellow data experts. What You Bring Proven experience as a Data Scientist in a large-scale or public sector setting. Strong programming skills: Python, R, SQL, and ideally knowledge of Scala, Java, or C++. Deep familiarity with the Microsoft technology stack - including Azure Data Factory, Synapse, Databricks, Power BI, Azure ML. Sound understanding of machine More ❯

exclusively) or equivalent experience. Previous working experience in an analytical role, preferably within the gambling or gaming industry. Proficient in SQL and one or more of the following: Python, R, SAS Knowledge of Data visualisation software, PowerBI preferrable. Proven ability to analyse large sets and translate them into insights and actionable business recommendations. Strong communication, collaboration, and presentation skills, with More ❯