15 R Programming Jobs

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 to measure product performance and success. Analyze data to identify trends, insights, and opportunities for product improvement and innovation. Work with UX designers to develop new reports and enhance existing ones based on user feedback and data analysis. Communicate findings and recommendations to stakeholders at all levels of the organization. Stay up-to-date with industry trends and best practices in analytics and product management. Manage a team of product owners, product managers, and analysts Requirements: Bachelors degree in Business, Data Science, Computer Science, or a related field. Proven experience as a Product Manager, with strong experience in analytics or data-driven products. Experience with the US healthcare industry Strong analytical skills and proficiency in data analysis tools (e.g., SQL, Python, R). Excellent communication and presentation skills. [If India: Strong English communication skills] Ability to work collaboratively in a fast-paced, dynamic environment, including with global teams. Strong organizational and project management skills. Experience with analytics platforms and tools (e.g., Google Analytics, Tableau). Knowledge of agile development methodologies. Preferred Qualifications: Advanced degree (MBA, MS) in a related field. Advanced skills in data analysis tools (e.g., SQL, Python, R) Experience in Value Based Care Healthcare space Familiarity with machine learning and AI technologies. Why Join Reveleer? Impactful Work: Be part of a mission-driven company dedicated to improving healthcare outcomes and driving innovation. technology roadmap. excellence. growth. remote work. Leadership Opportunity: Shape the growth and culture of our India technology team and influence the global Collaboration & Culture: Work closely with a globally distributed team of passionate professionals committed to Competitive Compensation: Receive a comprehensive benefits package and opportunities for professional Flexible Work Environment: Collaborate with modern tools and practices, with flexibility to balance on-site and

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 appealing and user-friendly. Updating existing applications based on changes in functionality or requirements. Debugging and testing applications to ensure they function correctly. Data Handling and Manipulation: Analyzing datasets, both structured and unstructured, to identify relationships and prepare data for loading into databases. Creating and managing data pipelines and ETL (Extract, Transform, Load) processes. Data Visualization and Reporting: Developing visualizations, reports, and dashboards using R Shiny. Creating data pipelines that integrate various data sources to create comprehensive visualizations. Collaboration and Communication: Working closely with other developers, data scientists, and subject matter experts. Communicating technical information clearly and concisely. Proposing solutions to technical challenges and application improvements. Mandatory Competencies Data Science - R Shiny UX - UX UI - Javascript Beh - Communication and collaboration At Iris Software, we offer world-class benefits designed to support the financial, health and well-being needs of our associates to help achieve harmony between their professional and personal growth. From comprehensive health insurance and competitive salaries to flexible work arrangements and ongoing learning opportunities, were committed to providing a supportive and rewarding work environment. Join us and experience the difference of working at a company that values its employees success and happiness.

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 Familiarity with data analysis software (e.g., MS Excel, MATLAB, Python, or R) Excellent communication skills (both verbal and written) Ability to work independently as well as part of a collaborative team Attention to detail and ability to manage time effectively

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 programming (VBA) and Power Pivot is desirable. Familiarity with statistical software packages (e.g., Minitab, Weibull++, Winsmith, JMP, R-Programming) is preferred. Knowledge of engine performance measurement is advantageous. Awareness of warranty data analysis and life data analysis is preferable. Experience in service and quality functions is desirable. Strong analytical skills for handling large datasets and deriving meaningful conclusions. Six Sigma Yellow Belt certification required; Green Belt certification preferred. Experience: Basic relevant work experience desired, such as internship, co-op, or other pertinent work experience. This is a Hybrid role. Qualifications: Master of Science, Bachelor of Science, or equivalent technical degree required. This position may require licensing for compliance with export controls or sanctions regulations. Competencies: Applies Principles of Statistical Methods: Analyzes technical data using descriptive statistics, probability distributions, graphical analysis, and statistical inference; models relationships between response and independent variables using analysis of variance, regression, and design of experiments to make rigorous, data-based decisions. Product Failure Mode Avoidance: Mitigates potential product failure modes by identifying interfaces, functions, functional requirements, interactions, control factors, noise factors, and prioritized potential failure modes and potential failure causes for the system of interest to effectively and efficiently improve the reliability of Cummins products. Product Failure Reporting and Corrective/Preventive Action Systems: Defines and leads a process to record, prioritize, and resolve product failures using cross-functional reviews, rigorous problem-solving methods, failed parts transfer processes, data management tools, and project management practices to effectively and efficiently improve the reliability of the product. Product Problem Solving: Solves product problems using a process that protects the customer; determines the assignable cause; implements robust, data-based solutions; and identifies the systemic root causes and recommended actions to prevent problem reoccurrence. Product Reliability and Reliability Risk Management: Plans and manages critical reliability activities during new product development by preventing failures before hardware, detecting failures before the customer does, and improving products before production in order to release a reliable and durable product; evaluates key technical and program measures to assess the launch readiness of a new product using prescribed indicators, measures, risk scales, and methods of tracking to focus attention on metrics to reduce risk and improve reliability. Quantitative Reliability Analysis: Analyzes failure data from existing and/or new products by establishing failure rate models for use in assessing the feasibility of meeting reliability targets, comparing the reliability of product alternatives, estimating reliability and product coverage costs, identifying emerging issues, or verifying that improvements implemented have had the desired reliability improvement. Reliability Test Planning: Develops and analyzes a test plan acknowledging the relationship among reliability, sample size, distribution parameters, and confidence; develops system-level reliability test plan by considering schedule, number of units, applications, noises, and locations to find unknown failure modes to improve reliability; creates an accelerated test plan by increased use, overstress testing, or combining multiple stresses to build and extrapolate a model to estimate reliability under normal use conditions. Customer Focus: Building strong customer relationships and delivering customer-centric solutions. Global Perspective: Taking a broad view when approaching issues, using a global lens. Values Differences: Recognizing the value that different perspectives and cultures bring to an organization.

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 Services like Azure Analysis Service SQL Databases.

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. Focus on creating user-friendly interfaces that effectively present data analysis and insights. R Programming: Utilize strong R programming skills to perform data cleaning, manipulation, analysis, and visualization. This includes implementing statistical models, data mining techniques, and machine learning algorithms as needed. SQL Database Interaction: Write efficient SQL queries to extract, transform, and load data from relational databases. Ensure data integrity and optimal performance for application use. Data Understanding and Interpretation: Work closely with stakeholders to understand their requirements and translate them into robust analytical solutions. Interpret data insights and communicate findings effectively. Code Documentation and Best Practices: Write clean, well-documented, and maintainable code. Adhere to software development best practices, including version control and testing methodologies. Project Management: Manage your time effectively across multiple shorter-term projects. Work independently while keeping stakeholders updated on progress and issues. Problem Solving: Ability to understand business problems and develop data-driven solutions and develop novel approaches, if needed. Collaboration: Work collaboratively with other data scientists, analysts, and business teams as needed. Required Skills & Qualifications: Expertise in R Programming: Proven experience in using R for data manipulation, statistical analysis, and visualization. Minimum of 3-5 years of experience in a relevant technical role. Shiny App Development: Strong understanding and practical experience in developing interactive dashboards and applications using R Shiny. Minimum of 3-5 years of experience in a relevant technical role. SQL Proficiency: Ability to write and optimize SQL queries to interact with relational databases (e.g., PostgreSQL, MySQL, SQL Server). Data Analysis Skills: Ability to perform exploratory data analysis, apply statistical methods, and interpret results. Problem-Solving Aptitude: Strong analytical and problem-solving skills with the ability to translate business requirements into technical solutions. Communication Skills: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical audiences. Experience with Version Control: Familiarity with Git and GitHub or similar version control systems. Adaptability: Ability to manage multiple projects concurrently and adapt to changing priorities. Remote work: Comfortable working remotely and communicating regularly. Preferred Skills: Experience with other R packages relevant to data analysis and visualization (e.g., dplyr, ggplot2, tidyr). Knowledge of basic statistical modeling and machine learning techniques Experience with cloud-based data environments (e.g., AWS, Google Cloud, Azure). Familiarity with deployment of shiny apps. Understanding of data security practices. Location : - Remote,New Delhi,Mumbai,Bengaluru

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 data manipulation, statistical analysis, and data visualization. Experience with POSIT Workbench, Connect, and/or Package Manager. Good to have python & SQL knowledge Develop library of reusable checks working closely with data engineers and config specialists. Collaborate with cross functional teams in creating business rules and automated check library across TAU. Serves as a technical resource for creating data analytics to help with data validation and cleaning. Provide programming expertise for data cleaning to efficiently ensure high quality data. Ensure accurate delivery by creating macros for Standard listings for the department based on specifications. Develop programs that generate CRF and Query metrics, including ad-hoc Sponsor and internal programming requests. Ability to set up and configure analytics for coding reports, safety review and any risk-based monitoring activities. Operational experience in pharmaceutical drug development with significant direct exposure to clinical development and data operations required for the reporting of clinical trial data (e.g. data review, regulatory submissions, safety updates, etc.) Understanding of regulatory requirements and relevant data standards; CDISC knowledge and experience are preferable. To Apply WhatsApp 'Hi' @ 9151555419 and Follow the Steps Below: a) For Position in Mumbai Search : Job Code # 373 b) For Position in Pune Search : Job Code # 374

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 technologies. 2. Conduct research to explore new techniques and methodologies that can enhance our solutions. Collaboration: 1. Work closely with cross-functional teams, including data scientists, software engineers, and product managers, to understand requirements and deliver effective solutions. 2. Provide technical guidance and support to team members and stakeholders.

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 forefront of delivering advanced analytical capabilities for Experience Studies, leveraging the R programming language and other cutting-edge technologies. Your responsibilities will include: Collaboration and Development: Work closely with IT and external partners/providers to develop and implement innovative analytical solutions. You will interpret and translate business requirements into technical specifications or example implementations that IT developers can easily understand. Technical Expertise: Provide expert advice and technical guidance to the IT development team. Collaborate with them to build a new global experience study platform, which includes the analytics engine, results database, results reporting, and tracking of Experience Studies. Project Management: Plan and oversee the work of the development team, ensuring that their output is accurate and aligns with the project requirements. Review their work to guarantee the correct implementation of solutions. Testing and Feedback: Conduct functional testing of implemented solutions and provide constructive feedback to IT developers to refine and enhance the final product. Global Collaboration: Foster strong collaboration and involvement across regional and central teams to ensure a unified approach to global experience studies. Engage and coordinate with regional teams on best practices and overall end-to-end experience studies topics. Governance and Best Practices: Contribute ideas to a robust governance framework for tools and methodologies used in experience studies. Follow the established guidelines to ensure operational excellence by balancing regional and global requirements. Support and Recommendations: Assist the ESTP team in developing recommendations for best practices in experience studies. Take an active role in the L&H Experience Studies Expert Group, contributing to the future direction of Experience Studies. Training and Development: Provide training on Experience Studies and the use of the Experience Studies tool in R to actuaries worldwide. Develop and maintain comprehensive training materials to support this effort. About you: Experience : You should have over 5 years of experience in the Life & Health (L&H) actuarial domain. Actuarial Qualification : You are either already qualified or actively working towards obtaining an actuarial qualification. Technical Expertise : Prior experience in experience studies and a strong knowledge of the R programming language are essential. IT Proficiency : You should be technically minded and comfortable working on IT-related topics. Product Knowledge : Expertise in a variety of L&H products, ideally across multiple global markets and regions, is required. Collaboration Skill s: You must have the ability to interact with colleagues at all levels of the organization and work towards common solutions. Teamwork and Independence : You should be capable of working both independently and as part of a team, including cross-functional teams, to ensure successful delivery. Communication Skills : Excellent communication, interpersonal, project planning, and influential skills are essential. Analytical Skills : Strong analytical skills are necessary, along with the ability and courage to constructively challenge decisions based on emerging information. You should also have a business mindset to be solutions-oriented. Consultant Mindset : You should have a consultant mindset, with the ability to listen to users and help solve their problems effectively.

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 data manipulation, statistical analysis, and data visualization. Experience with POSIT Workbench, Connect, and/or Package Manager. Good to have python & SQL knowledge Develop library of reusable checks working closely with data engineers and config specialists. Collaborate with cross functional teams in creating business rules and automated check library across TAU. Serves as a technical resource for creating data analytics to help with data validation and cleaning. Provide programming expertise for data cleaning to efficiently ensure high quality data. Ensure accurate delivery by creating macros for Standard listings for the department based on specifications. Develop programs that generate CRF and Query metrics, including ad-hoc Sponsor and internal programming requests. Ability to set up and configure analytics for coding reports, safety review and any risk-based monitoring activities. Operational experience in pharmaceutical drug development with significant direct exposure to clinical development and data operations required for the reporting of clinical trial data (e.g. data review, regulatory submissions, safety updates, etc.) Understanding of regulatory requirements and relevant data standards; CDISC knowledge and experience are preferable. To Apply WhatsApp 'Hi' @ 9151555419 and Follow the Steps Below: a) For Position in Bangalore Search : Job Code # 375 b) For Position in Hyderabad Search : Job Code # 376

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 data manipulation, statistical analysis, and data visualization. Experience with POSIT Workbench, Connect, and/or Package Manager. Good to have python & SQL knowledge Develop library of reusable checks working closely with data engineers and config specialists. Collaborate with cross functional teams in creating business rules and automated check library across TAU. Serves as a technical resource for creating data analytics to help with data validation and cleaning. Provide programming expertise for data cleaning to efficiently ensure high quality data. Ensure accurate delivery by creating macros for Standard listings for the department based on specifications. Develop programs that generate CRF and Query metrics, including ad-hoc Sponsor and internal programming requests. Ability to set up and configure analytics for coding reports, safety review and any risk-based monitoring activities. Operational experience in pharmaceutical drug development with significant direct exposure to clinical development and data operations required for the reporting of clinical trial data (e.g. data review, regulatory submissions, safety updates, etc.) Understanding of regulatory requirements and relevant data standards; CDISC knowledge and experience are preferable. To Apply WhatsApp 'Hi' @ 9151555419 and Follow the Steps Below: a) For Position in Mumbai Search : Job Code # 373 b) For Position in Pune Search : Job Code # 374

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.