64 R Programming Jobs - Page 2

We are seeking a skilled Statistical Programmer with a strong background in R Programming to become a valuable addition to our expanding team. This remote position is ideal for individuals who are enthusiastic about clinical data analysis and programming, particularly those with a deep understanding of CDISC standards. As a Statistical Programmer, your main responsibilities will include developing, validating, and managing SDTM, ADaM datasets, and TLFs in compliance with CDISC guidelines. You will be conducting efficacy analyses using R programming, working autonomously on studies, and providing support for clinical trial submissions. Collaboration with various teams in an FSP environment will be crucial, along with efficient debugging and utilization of standard macros. If you have experience with integrated summaries (ISS/ISE), it is considered a plus. The ideal candidate should possess 6 to 8 years of relevant experience in statistical programming, with a minimum of 3 years of hands-on experience in R programming. A strong working knowledge of CDISC standards such as SDTM, ADaM, and TLF is essential, along with exposure to efficacy analysis. Senior-level profiles should have experience in handling studies at the study level. Preferred skills for this role include familiarity with the CRT package (Trial Data Domain), previous involvement in ISS and ISE, experience in an FSP environment, and proficiency in standard macro debugging and utilization. In return, we offer a bootstrapped and financially stable environment with an above-industry renumeration package. Additional compensation is tied to Renewal and Pilot Project Execution, along with lucrative business development incentives. Our organization provides opportunities for firm building and holistic professional development, emphasizing empathy, excellence, and results. We believe in mentoring and nurturing our team members, with a continuous focus on learning and growth.,

As a Technical Customer Support Engineer at Crunch.io, you will play a pivotal role in providing exceptional customer support, conducting product testing, assisting the sales team, and managing professional services projects. Your responsibilities will involve resolving complex technical issues affecting product performance, testing new features, preparing datasets for demonstrations, and executing specific projects for customers. To excel in this role, you will need to develop a deep understanding of the application, communicate effectively with customers via email and web calls, maintain strong relationships with customers, and handle user questions and reported problems efficiently. Additionally, you will be responsible for prioritizing customer cases, troubleshooting and debugging issues, escalating relevant support issues to product management, and contributing to the knowledge base by keeping documentation up-to-date. The ideal candidate for this position is someone with experience in data processing for market research surveys, a background in market research operations, and proficiency in a statistical programming language. You should possess excellent problem-solving skills, strong communication abilities, exceptional organizational skills, and the flexibility to multitask and handle a high volume workload. Attention to detail and a proactive approach to finding solutions are essential qualities for success in this role. Crunch.io is a remote company that values hiring the best talent regardless of geographical location. This position may require flexibility in time zone coverage, potentially encompassing support for US and European time zones. Working remotely demands high motivation, productivity, and contributes to fostering a healthy work-life balance. As a startup with a fast-paced culture and backed by a public company, employees at Crunch.io enjoy excellent benefits and growth opportunities.,

As a Data Science Trainer, your primary responsibility will be to deliver advanced training sessions in various topics related to data science. You will cover a wide range of subjects including Python Programming for Data Science, Mathematics & Statistics for AI, AI Ethics, Data Access, Handling and Visualization, Analyzing Data with Python, Visualizing Data with Python, Tableau, Machine Learning, Deep Learning, Natural Language Processing, Computer Vision (CV), Full Stack Development, Generative AI, R Programming, Scala, and Spark. This is a full-time position that requires you to conduct training sessions in person. You will be expected to start on the 23rd of July, 2025.,

You are a boutique data analytics consultancy specialized in Health Economics and Outcomes Research (HEOR), pricing, and market access. Your clientele includes pharmaceutical and medical device companies, as well as midsize and large consultancies worldwide. Your dedicated team of expert health economists and systematic reviewers ensures the delivery of high-quality work within specified timelines. In this role, your key responsibilities will involve conducting statistical analysis necessary for submissions to HTA agencies like NICE and PBAC. You will be responsible for developing proposals, project reports, and various deliverables for clients. Your tasks will also include designing, analyzing, and interpreting data utilizing a diverse range of statistical approaches and relevant software. Furthermore, you will review study plans, reports, and presentations, ensuring adherence to Skyward's best practices. You will be expected to identify and develop methodologies, strategies, and findings in reports and presentations. Developing and executing statistical analysis plans (SAP) for clinical trial data using R or SAS is a crucial aspect of your role. Your duties will also involve digitizing and performing parametric survival analysis using Kaplan-Meier data from publications and clinical trials. You will conduct indirect treatment comparisons and Network Meta-Analyses (NMA) as required. Additionally, you will provide support to the health economic modeling team and offer writing assistance for publications based on statistical analyses. Effective communication is key in this role, as you will be required to articulate detailed technical reports of the analysis performed both verbally and in writing. Maintaining clear and timely communication with clients and internal project teams is essential for project execution efficiency. To be successful in this position, you should possess a minimum of 4 years of experience in Health Economics and Outcomes Research (HEOR) and hold an MS or PhD in Statistics or a relevant field. Proficiency in health technology assessment (HTA) submissions, advanced programming skills in R, and a solid understanding of key statistical concepts and techniques are prerequisites for this role.,

RARR Technologies is looking for R Programmer to join our dynamic team and embark on a rewarding career journey Develop software applications based on business requirements and technical specifications Write clean, efficient, and maintainable code Test and debug software applications to ensure they meet quality standards Collaborate with cross-functional teams to design, develop, and deploy new features Troubleshoot and resolve software defects and issues Optimize software performance and ensure scalability Conduct code reviews and provide constructive feedback to team members Stay up-to-date with industry trends and emerging technologies Document software designs, code, and technical specifications Participate in agile development processes and contribute to continuous improvement

About the Internship: We are looking for a highly motivated and analytical MBA intern who possesses a solid understanding of digital marketing principles and data analytics. This internship provides a valuable opportunity to acquire practical experience in a fast-paced setting, where you will actively contribute to real-world marketing strategies and utilize data to propel business growth. The ideal candidate will play a crucial role in bridging marketing initiatives with data-driven insights, assisting in the optimization of campaigns and comprehension of customer behavior. Key Responsibilities: Data Analysis & Reporting: You will be responsible for collecting, cleaning, and analyzing data from a variety of digital marketing channels such as website analytics, social media, email campaigns, paid ads, and CRM systems to detect trends, patterns, and insights. Developing and managing marketing dashboards and reports utilizing tools like Google Analytics, Tableau, Power BI, or similar platforms, to offer actionable recommendations to the marketing team. Conducting in-depth analyses on campaign performance, customer segmentation, and user journeys to unveil opportunities for enhancement. Aiding in the setup and analysis of A/B tests and multivariate tests to enhance conversion rates and user engagement. Digital Marketing Strategy & Execution Support: Providing support in the development and execution of digital marketing campaigns across multiple channels including SEO, SEM, social media, email marketing, and content marketing. Performing market research and competitive analysis to recognize new opportunities and guide marketing strategies. Assisting in the optimization of website content and landing pages for better search engine ranking and user experience. Collaborating with the marketing team on content strategy by identifying data-driven topics and formats that resonate with target audiences. Strategic Insights & Recommendations: Translating intricate data findings into clear, concise, and actionable recommendations for stakeholders. Delivering findings to cross-functional teams such as marketing, product, and sales to influence business decisions. Contributing to the ongoing enhancement of our digital marketing and data analytics processes. Qualifications: Currently pursuing a Master of Business Administration (MBA) degree from an accredited institution. Possess a strong academic background with a focus or specialization in Marketing, Business Analytics, Data Science, or a related field. Demonstrated comprehension of digital marketing concepts and channels including SEO, SEM, social media, email marketing, and content marketing. Proficient in data analysis tools and techniques, with strong Excel skills. Familiarity with web analytics platforms like Google Analytics, Adobe Analytics, and other marketing automation or CRM tools such as HubSpot, Salesforce. Experience with data visualization tools like Tableau, Power BI is advantageous. Basic knowledge of SQL or programming languages like Python/R for data manipulation and analysis is highly desirable. Excellent analytical, critical thinking, and problem-solving abilities. Strong written and verbal communication skills with the capacity to present complex information clearly and concisely. Ability to work independently and collaboratively in a fast-paced, dynamic environment. High level of curiosity, proactivity, and a strong desire to learn and contribute.,

You should have 3-5 years of experience as a Data Analyst and possess expertise in data-driven problem solving. Your skills should include proficiency in Data Modelling, Data Mining, and Data Segmentation Methods. You must excel in analytical thinking, business modelling, and problem-solving. Advanced Microsoft Excel skills are a must, along with experience working with MS SQL. Knowledge of R Programming is essential, as well as experience with XML, ETL frameworks, and JavaScript. You should be adept at creating queries and reports and having experience with QlikView/Tableau will be advantageous. A good understanding of Microsoft Office and excellent communication skills, both verbal and written, are required. As a Data Analyst, your responsibilities will include applying Data Modelling, Data Mining, and Data Segmentation techniques to the available data. You will be expected to identify and analyze trends or patterns in complex data sets using statistical methods and interpret the data based on the analyzed trends and patterns. Collaboration with management to prioritize business requirements and identifying improvement opportunities in business processes will also be part of your role. This is a Full-Time position located in Vadodara. The educational requirements for this role include a BE (IT), BE (CS), MCA, MSC (IT), BSC in Statistics, or MSC in Statistics. Salary details will be discussed in person. Please send your resume to info@99plusitsolutions.com or 99plusit@gmail.com for consideration.,

The Statistical Programmer II position at Princeps Technologies in Hyderabad is a key role within our organization. As a data-driven company specializing in advanced analytics and technology solutions for the pharmaceutical and biotechnology sectors, we are dedicated to innovation, quality, and client success. As a Statistical Programmer II, you will be responsible for developing and validating SDTM datasets according to CDISC standards, creating ADaM datasets following current guidelines, and programming Tables, Listings, and Figures (TLFs) as per sponsor requirements. Your role will also involve generating subject narratives, producing clinical registry files, performing quality control on programming deliverables, and preparing electronic submission packages that adhere to global regulatory standards. The ideal candidate for this position is a SAS programmer with over 4 years of experience in clinical trial data analysis. You should be proficient in SAS Base and Macro programming, particularly for SDTM, ADaM, and TLFs, and have knowledge of clinical domains such as safety, efficacy, and PK/PD. Familiarity with CDISC standards, metadata programming, and sponsor-defined analysis standards is essential, while experience with Therapeutic Area User Guides (TAUGs) and R programming would be advantageous. To be successful in this role, you should possess strong documentation, quality control, and regulatory compliance skills. A Bachelor's or Masters degree in Statistics, Life Sciences, Computer Science, or related fields is preferred, along with experience in preparing submission-ready data and documentation. Effective communication and collaboration skills are valued, as is an understanding of regulatory expectations from agencies like the FDA and EMA. Joining Princeps Technologies means becoming part of a talented and mission-focused team dedicated to global clinical research and regulatory innovation. You will have the opportunity to work in a supportive environment with onsite collaboration in Hyderabad, along with competitive compensation and professional development prospects.,

You should have 3 to 5 years of experience in Software such as EdgeCAM, CreoNC, Vericut simulation with all machining processes. Your knowledge should include various cutting tools, presetters like Zoller, TMS, TDM, and materials like Cast Iron and Steel. Your position-specific duties will involve CNC programming in EDGECAM, CreoNC software, machining simulation in Vericut, and tooling drawings and modeling in Creo & AutoCAD. You should possess skills in cutting tools and have a good understanding of Process Stage Drawings. It is mandatory for you to have advanced skills in Excel, Macros, VBA, Dashboards, MS-Access, WorkNC, SolidWorks, Computer Numerical Control (CNC) Programming, Autodesk AutoCAD, Creo Parametric, Edgecam, VERICUT, Siemens NX, R Programming, PowerMILL, CAM Software, and Microsoft Power Business Intelligence (BI).,

The Senior Data Science Engineer will leverage advanced data science techniques to solve complex business problems, guide decision-making processes, and mentor junior team members. This role requires a combination of technical expertise in data analysis, machine learning, and project management skills. Responsibilities Data Analysis and Modeling: Analyze large-scale telecom datasets to extract actionable insights and build predictive models for network optimization and customer retention. Conduct statistical analyses to validate models and ensure their effectiveness. Machine Learning Development: Design and implement machine learning algorithms for fraud detection, churn prediction, and network failure analysis. Telecom-Specific Analytics: Apply domain knowledge to improve customer experience by analyzing usage patterns, optimizing services, and predicting customer lifetime value. ETL Processes: Develop robust pipelines for extracting, transforming, and loading telecom data from diverse sources. Collaboration: Work closely with data scientists, software engineers, and telecom experts to deploy solutions that enhance operational efficiency. Data Governance: Ensure data integrity, privacy, security and compliance with industry standards Qualifications Advanced degree in Data Science, Statistics, Computer Science, or a related field. Extensive experience in data science roles with a strong focus on machine learning and statistical modeling. Proficiency in programming languages such as Python or R and strong SQL skills. Familiarity with big data technologies (e.g., Hadoop, Spark) is advantageous. Expertise in cloud platforms such as AWS or Azure.

Bioinformatician (1.06 - 4 Years Experienced in Cancer Projects Only) (Important Notes: (1) It is a Desk Job (Onsite Job), operating for 6 days / week working pattern and (2) Immediate Joiners Preferred) Job Summary: We are seeking a highly motivated and skilled Bioinformatician to join our team. The successful candidate will have strong programming skills in either Python or R and should have some open source code available for review on platforms such as Github. The Bioinformatician will be responsible for developing novel bioinformatics tools and maintaining existing ones to improve our NGS pipeline as well as collaborating with the rest of the team to integrate these tools into multiple projects. Hence, someone who has good hands-on-experience in handling NGS data and doing DNA-sequencing analysis works on it with a strong coding skills background should apply only. Key Responsibilities: Develop and maintain novel bioinformatics tools to improve our NGS pipeline. Actively enhance our NGS pipelines using publicaly available tools and databases. Collaborate with the rest of the team to integrate these tools into our research projects. Analyze and interpret data and contribute to the writing and reporting of research findings. Contribute to the development and maintenance of our in-house bioinformatics infrastructure. Qualifications: Strong programming skills in either Python or R. Some experience in DNA-seq analysis. Some open source code available for review on platforms such as Github. Comfortable working in a Unix environment, working with tools like Docker and writing shell scripts. Strong understanding of best practices in software development. Strong problem-solving skills and attention to detail. Good communication skills, both written and verbal. A degree in bioinformatics, computer science or a related field is preferred, but not required.

You should be a Software Trainer with a qualification of M.Tech or MCA. Your responsibilities will include teaching various programming languages like Python, C++, C, R programming, Java, HTML, CSS, JavaScript, PHP, as well as Networking using Packet Tracer, VMware, MATLAB programming, Linux, and SQL/PLSQL. You should possess good communication skills to effectively convey your teachings to the students. The ideal candidate will have a minimum of 1-15 years of experience in the field. The job location is at Sector 82 A, IT City Rd, Block D, Sahibzada Ajit Singh Nagar, Punjab 140306.,

We are looking for a Machine Learning Engineer to help us create artificial intelligence products. Responsibilities include creating machine learning models and retraining systems. To do this jobsuccessfully, you need exceptional skills in statistics, coordinate systems and programming. Your ultimate goal will be to shape and build efficient self-learning applications. Job Code BS-82 Experience 1+ yrs Vacancies 1 Responsibilities Prepare and maintain metadata for different data models. Research and implement appropriate ML algorithms and tools. Train and optimise ML/DL models. Deploying models to production. Extend existing ML libraries and frameworks. Integrate existing ML services to the system. Qualification & Skills Mandatory Minimum 2 years of work experience in Machine Learning/Deep Learning. Deep knowledge of maths, probability, statistics, linear algebra, coordinate systems and algorithms. Understanding of data structures, data modelling and software architecture. Ability to write robust code in Python. Hands on experience with NumPy, Pandas, MatplotLib, Seaborn, OpenCV, Scikit-Learn libraries. Familiarity with machine learning frameworks like Keras, TensorFlow and PyTorch. Outstanding analytical and problem-solving skills. Hand on experience training a deep learning model, hyper parameter tuning. Familiarity with Linux. Good to Have Knowledge of R programming language. Knowledge of Relational and NoSql databases. Knowledge of model optimisation, TfLite, Onnx and OpenVino. Join Our Team Build a career to thrive in an inclusive environment, and allow your ideas to become your voice. Let us know your purpose so that we can serve you better!

We are looking for a skilled R Shiny programmer to create interactive reports that transform clinical trial data into actionable clinical insights. As an R Shiny programmer, your role will involve designing, developing, deploying, and optimizing user-friendly web applications for analyzing and visualizing clinical data. Your responsibilities will include designing, developing, testing, and deploying interactive R Shiny web applications. You will collaborate with data scientists, bioinformatics programmers, analysts, and stakeholders to understand application requirements and translate them into intuitive R Shiny applications. Additionally, you will be responsible for translating complex data analysis and visualization tasks into clear and user-friendly interfaces, writing clean and efficient R code, conducting code reviews, and validating R programming. Moreover, you will integrate R Shiny applications with AWS services like AWS Redshift, implement unit tests to ensure quality and performance, benchmark and optimize application performance, and address any inconsistencies in data, analytical, or reporting problems that may arise. Other duties may be assigned as needed. The ideal candidate should possess a Bachelor's degree in computer science, Data Science, or a related field, along with 3 to 8 years of relevant experience. Proven expertise in building R Shiny applications, strong proficiency in R programming, including data manipulation, statistical analysis, and data visualization, experience in using SQL, and an understanding of user interface (UI) and user experience (UX) principles are essential. Experience with gathering requirements, using RStudio, Version Control software, managing programming code, and working with POSIT Workbench, Connect, and/or Package Manager is preferred. Candidates should have the ability to manage multiple tasks, work independently and in a team environment, effectively communicate technical concepts in written and oral formats, and experience with R markdown, continuous integration/continuous delivery (CI/CD) pipelines, and AWS cloud computing services such as Redshift, EC2, S3, and CloudWatch. The required education for this position is a BE/MTech/MCA degree in a computer-related field. A satisfactory background check is mandatory for this role.,

We are seeking skilled R Developers with a minimum of 1 year of development experience to join us as freelancers and contribute to impactful projects. Key Responsibilities:Write clean, efficient code for data processing and transformation.Debug and resolve technical issues.Evaluate and review code to ensure quality and compliance Required Qualifications:1+ year of R development experience.Should have expertise in R programming, data analysis, and statistical modeling.Should be skilled in working with large datasets, creating visualizations, and applying machine learning algorithms.

We are seeking skilled R Developers with a minimum of 1 year of development experience to join us as freelancers and contribute to impactful projects. Key Responsibilities:Write clean, efficient code for data processing and transformation.Debug and resolve technical issues.Evaluate and review code to ensure quality and compliance Required Qualifications:1+ year of R development experience.Should have expertise in R programming, data analysis, and statistical modeling.Should be skilled in working with large datasets, creating visualizations, and applying machine learning algorithms.

We are seeking skilled R Developers with a minimum of 1 year of development experience to join us as freelancers and contribute to impactful projects. Key Responsibilities:Write clean, efficient code for data processing and transformation.Debug and resolve technical issues.Evaluate and review code to ensure quality and compliance Required Qualifications:1+ year of R development experience.Should have expertise in R programming, data analysis, and statistical modeling.Should be skilled in working with large datasets, creating visualizations, and applying machine learning algorithms.

We are seeking skilled R Developers with a minimum of 1 year of development experience to join us as freelancers and contribute to impactful projects. Key Responsibilities:Write clean, efficient code for data processing and transformation.Debug and resolve technical issues.Evaluate and review code to ensure quality and compliance Required Qualifications:1+ year of R development experience.Should have expertise in R programming, data analysis, and statistical modeling.Should be skilled in working with large datasets, creating visualizations, and applying machine learning algorithms.

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 environment Debug and utilize standard macros efficiently Preferred involvement in integrated summaries (ISS/ISE) Must-Have Skills: 6 to 8 years of relevant experience in statistical programming Minimum 3 years of hands-on experience with R programming Strong knowledge and working experience with CDISC standards: SDTM, ADaM, and TLF Exposure to efficacy analysis Study-level handling experience (for senior-level profiles) Preferred Skills: Experience with CRT package (Trial Data Domain) Prior involvement in ISS and ISE Experience in an FSP environment Familiarity with standard macro debugging and utilization Why Join Us? 100% Remote Role Be part of a specialized Data Science and Clinical Programming team Opportunity to work on impactful global healthcare projects ,

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, Economics, Applied Math or related field. 2. 5+ years practical experience with Python, R, SQL, SAS, ETL, data processing, database programming and data analytics. 3. Rich experience in data mining and statistical analysis. Candidates with experience in the domain of banking would have an advantage. 4. Able to understand various data structures and common methods in data transformation. 5. Excellent in analysing and problem-solving using data. 6. Excellent pattern recognition and predictive modelling skills. 7. Experience with programming languages such as Java/C++ an asset. 8. The candidate must have an ability to establish strong, meaningful, and lasting relationships with others. He will be approachable and likable, inspiring trust and a feeling of dependability in others, bearing more credibility to his insights and directives in the view of collaborating with personnel, senior management, and his colleagues

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 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.