221 R Programming Jobs - Page 9

Statistical Programmer - R Programmer (Remote opportunity) Company: Element Technologies Location: Remote (India) Experience: 6 to 10 years About the Role: Element Technologies is hiring a Statistical Programmer with strong R programming experience to join our growing team. This is a remote opportunity tailored for professionals passionate about clinical data analysis and programming, with expertise in CDISC standards. Key Responsibilities: Develop, validate, and maintain SDTM, ADaM datasets, and TLFs as per CDISC guidelines Perform efficacy analyses using R programming Work independently on studies and support clinical trial submissions Collaborate with cross-functional teams in an FSP envi...

Role & responsibilities 1. Research and develop statistical learning models for data analysis. 2. Collaborate with business, product management and engineering departments to understand business needs and devise possible solutions. 3. Implement new statistical or other mathematical methodologies as needed for specific models or analysis. 4. Optimize joint development efforts through appropriate database use and project design. 5. Communicate results and ideas to key decision makers 6. Bring an outside in view by constantly staying updated and engaged with developing industry standards Required Qualifications, Capabilities, and Skills: 1. Masters Degree in Computer Science, Statistics, Econom...

Lead clinical trial statistics: develop protocols, design studies, create TLGs, review ADaM specs. Manage statistical deliverables, mentor team, collaborate cross-functionally. Support CTR prep, regulatory submissions, QC validation. Required Candidate profile Postgrad/PhD Statistics. 3+ yrs clinical trial biostatistics experience. Expertise in protocol design & statistical programming (SAS/R). Regulatory submission knowledge. Team leadership abilities.

Key Responsibilities Develop the analytics strategy for our products in partnership with our Product Strategy and Product Operations team, ensuring alignment with overall business goals. Translate our analytics strategy into a roadmap, manage delivery in partnership with our Business Intelligence and Data Warehouse teams. Manage a broad set of stakeholders as leader of a shared services delivery function, including upward management and exposure to executive team and daily management of the execution teams. Create and maintain project plans, schedules, and documentation to effectively manage deliverables, including managing backlogs across Define key performance indicators (KPIs) and metrics...

An R Shiny web developer builds interactive data visualization and analysis tools using the R programming language and the Shiny framework. They design, develop, and deploy dashboards and applications that allow users to explore and manipulate data dynamically. This role often involves data manipulation, UI/UX design, and ensuring the application runs efficiently. Heres a more detailed breakdown of an R Shiny web developers responsibilities: Responsibilities: Building and Maintaining Shiny Applications: Designing, developing, and maintaining interactive dashboards and applications using R and Shiny. Implementing user interfaces (UI) and server-side logic. Ensuring applications are visually a...

Key Responsibilities: Assist with the design and execution of research projects Collect, organize, and analyze data using various research methodologies Prepare and review research documents, reports, and presentations Conduct literature reviews and summarize relevant research articles Collaborate with other team members and researchers to facilitate research activities Ensure the quality and accuracy of research data and findings Support researchers in experimental tasks and lab work (if applicable) Qualifications : Education: BE/B.Tech (Recent Graduates) or relevant degree Experience: 0-1+ year(s) of experience in research projects Skills : Strong analytical and problem-solving skills Fami...

Advance R programming skills (relevant experience over last 12-24 months) especially with packages like tidyverse, dplyr, data.table, dtplyr, Rcpp and shiny.

Key Responsibilities: Applies engineering and/or scientific skills to technical processes with support from experienced team members. Participates as a team member, helps define/refine methods, and actively contributes towards team goals. Carries out engineering responsibilities using accepted methods and practical experience. Demonstrates good understanding and applies knowledge of an engineering discipline. Continues to develop capability to create engineering solutions through training and experience. Skills and Knowledge: Knowledge of engine and Genset components, functions, and failure modes. Experience with MS Office tools (Word, PowerPoint, Excel) is preferred. Proficiency in Excel pr...

The role is based in Pune, India. Compensation to be paid in INR. Defining and developing data sets, models and cubes Build simple to complex pipelines data flows in ADF which includes extracting data from the source system into the data warehouse staging area, ensuring data validation, data accuracy, data type conversion, and business rule application. Strong Visualization skills in PBI , expert knowledge in writing advanced DAX in Power BI, Power Queries , Power Automate , M Language , R Programming. Advance knowledge of Azure SQL DB Synapse Analytics , Azure Data Bricks, Power BI Should be able to analyse and understand complex data. Knowledge of Azure data lake storage is required and Se...

About the Role: We are seeking a skilled and versatile Data Scientist/Software Developer with a strong background in R programming and Shiny app development. This role will involve working on a variety of projects, each with defined objectives and timelines. Successful candidates will be comfortable in a dynamic environment, adapting to different datasets, analytical requirements, and business needs. You will be a key contributor to translating data into actionable insights through the development of robust and user-friendly Shiny applications. Responsibilities: Develop Interactive Shiny Applications: Design, develop, test, and deploy interactive web applications using the R Shiny framework....

Hi We are looking to hire for SAS+R Programming . Please go through the JD and Apply Roles & Responsibilities: Create data cleaning reporting solutions, study status metric, and monitoring reports and visualizations required per standard and study specific data review plans. Contribute to process improvements and development of programming standards using R. Minimum of 3 years of experience in R programming including familiarity with R packages (e.g., Tidyverse, ggplot2, survival) Familiarity with data visualization techniques and tools in R. Write clean, efficient, and well-documented R code, conduct R code reviews, and R programming validation. Strong proficiency in R programming, includin...

Bachelor's Degree or equivalent in statistics, computer science, information technology, business analytics, or other related majors Minimum of 3+ years of experience preferred Proficiency in Excel Proficiency in either Python or R Proficiency in SQL and database management Experience performing data preprocessing and cleaning Dashboarding experience would be a plus Proficient in working with JSON data formats Demonstrated ability to write clean, maintainable, and well-documented code Insurance experience would be a plus Ability to work independently and as part of a team Strong interpersonal, oral, and written communication skills, including presentation skills

Responsibilities: AI/ML Model Development: 1. Design and implement machine learning models and algorithms to address specific business needs. 2. Develop and optimize algorithms for accuracy, efficiency, and scalability. Data Analysis and Preprocessing: 1. Collect, preprocess, and analyze large datasets to extract meaningful insights. 2. Develop data pipelines and maintain data quality for model training and evaluation. Integration and Deployment: 1. Integrate machine learning models into existing systems and applications. 2. Deploy models in production environments and monitor their performance. Research and Innovation: 1. Stay updated with the latest advancements in AI and machine learning ...

About the Role: Our team forms part of L&H Portfolio Steering & Monitoring (PSM) within the Chief Underwriting Office (CUO). The PSM purpose is to generate insights and connect our business to proactively steer L&H in delivering sustainable profit. We therefore closely collaborate with the market units as well as other functions across the L&H community to maximize value and manage risk within our portfolio. L&H Experience Studies Centre within PSM aims to implement a standardised and state-of-the-art Experience Studies solutions that enables effective generation of insights of the L&H business to proactively steer L&H Re in delivering sustainable profits. In this role, you will be at the fo...

Professional with 8 to 12 years of experience in biostatistics & R Programming would be preferred

Hi We are looking to hire for SAS+R Programming. Please go through the JD and Apply Roles & Responsibilities: Create data cleaning reporting solutions, study status metric, and monitoring reports and visualizations required per standard and study specific data review plans. Contribute to process improvements and development of programming standards using R. Minimum of 3 years of experience in R programming including familiarity with R packages (e.g., Tidyverse, ggplot2, survival) Familiarity with data visualization techniques and tools in R. Write clean, efficient, and well-documented R code, conduct R code reviews, and R programming validation. Strong proficiency in R programming, including...

Hi We are looking to hire for SAS+R Programming . Please go through the JD and Apply Roles & Responsibilities: Create data cleaning reporting solutions, study status metric, and monitoring reports and visualizations required per standard and study specific data review plans. Contribute to process improvements and development of programming standards using R. Minimum of 3 years of experience in R programming including familiarity with R packages (e.g., Tidyverse, ggplot2, survival) Familiarity with data visualization techniques and tools in R. Write clean, efficient, and well-documented R code, conduct R code reviews, and R programming validation. Strong proficiency in R programming, includin...

Develop and maintain scalable data pipelines. Collaborate with data scientists and analysts to support business needs. Work with cloud platforms like AWS, Azure, or Google Cloud. Effectively working with cross-functional teams. Data Modelling.

As a Senior within the Actuarial team your role involves developing and implementing solutions both within the Insurance service line and in collaboration with other services lines. On engagements, you will: Be responsible for providing high quality results and generating effective solutions working along with Senior Consultants, Managers or Senior Managers in delivering the project Provide focused solutions and training to Staff members Be responsible for ensuring all engagement are delivered within time Deliver engagements in line with our values and commitment to quality and ensuring that work is of high standards Establish/manage priorities, communicate the status of activities, and accu...

As a Senior within the Actuarial team your role involves developing and implementing solutions both within the Insurance service line and in collaboration with other services lines. On engagements, you will: Be responsible for providing high quality results and generating effective solutions working along with Senior Consultants, Managers or Senior Managers in delivering the project Provide focused solutions and training to Staff members Be responsible for ensuring all engagement are delivered within time Deliver engagements in line with our values and commitment to quality and ensuring that work is of high standards Establish/manage priorities, communicate the status of activities, and accu...

Key responsibilities Estimate actuarial liability for general insurance lines of business which involves data preparation, data loading to tools, analysis of liabilities and presenting results Analyse the historical claims data, identify potential issues and trends and report the findings Perform valuation of reserves through IBNR models using the data supplied for estimation Working knowledge of different loss projection methods and their applications along with the familiarity of different property and casualty lines of business Review data, methodologies, assumptions, results and benchmark against the market Understanding the forecast, payment patters, yield curves, risk adjustments, clai...