66 R Program Jobs - Page 2

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.

Minimum 2 years of experience for Senior Statistical programming is a mandate. Having strong understanding of SAS Base/Macros/GTL and experience of SDTM/ADAM/TLFs creation as per CDISC standards. Associate should be able to manage communication with customers, track and ensure quality on-time deliverables Implementation of process improvements for enhanced quality and efficiency gains, institute robust processes to ensure consistent outcomes with quicker turn-around time. Experience in SDTM, ADAM & TLF Experience in EDC & VEEVA Expertise in Base and Advance SAS programming. Expertise in developing macros and developing generalized programs. Development of the complex SAS macros that can be utilized across TAs in multiple studies, review of the developed SAS programs. Expertise in SQL, SAS Macros, Functions, SAS GTL, SAS, and other advanced SAS components. Mentor and supervise developers to build generic standard macros, generic listings or other ad-hoc requests in accordance with business requirements Key Skills: a) Minimum 2 years of Experience in SDTM, ADAM & TLF is must b) Any Graduate

Minimum 2 years of experience for Senior Statistical programming is a mandate. Having strong understanding of SAS Base/Macros/GTL and experience of SDTM/ADAM/TLFs creation as per CDISC standards. Associate should be able to manage communication with customers, track and ensure quality on-time deliverables Implementation of process improvements for enhanced quality and efficiency gains, institute robust processes to ensure consistent outcomes with quicker turn-around time. Experience in SDTM, ADAM & TLF Experience in EDC & VEEVA Expertise in Base and Advance SAS programming. Expertise in developing macros and developing generalized programs. Development of the complex SAS macros that can be utilized across TAs in multiple studies, review of the developed SAS programs. Expertise in SQL, SAS Macros, Functions, SAS GTL, SAS, and other advanced SAS components. Mentor and supervise developers to build generic standard macros, generic listings or other ad-hoc requests in accordance with business requirements Key Skills: a) Minimum 2 years of Experience in SDTM, ADAM & TLF is must b) Any Graduate

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.

Role & responsibilities: 1.Create data cleaning reporting solutions study status metric, and monitoring reports and visualizations required per standard and study specific data review plans. 2. Develop library of reusable checks working closely with data engineers and config specialists. 3. Collaborate with cross functional teams in creating business rules and automated check library across TAU. 4. Serves as a technical resource for creating data analytics to help with data validation and cleaning. 5. Provide programming expertise for data cleaning to efficiently ensure high quality data. 6. Ensure accurate delivery by creating macros for Standard listings for the department based on specifications. 7. Develop programs that generate CRF and Query metrics, including ad-hoc Sponsor and internal programming requests. 8. Ability to set up and configure analytics for coding reports, safety review and any risk-based monitoring activities. 9. 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.) 10. Understanding of regulatory requirements and relevant data standards; CDISC knowledge and experience are preferable 11. Technical skills and experience using relational databases (e.g. MS SQL Server, Redshift, or Oracle), 12. EDC build and/or clinical data management experience preferred 13. Experience in AWS preferred 14. Experience setting up automated validation is preferred 15. Knowledge of Data lake and creating interactive Dashboards are preferred 16. Proficiency in the use of Microsoft Office Suite of tools (Outlook, Word, Excel, etc.)

Programming, specifically J Review, SQL, R and GitHub. Good to have Python. Create data cleaning reporting solutions study status metric, and monitoring reports and visualizations required per standard and study specific data review plans. 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 Technical skills and experience using relational databases (e.g. MS SQL Server, Redshift, or Oracle), EDC build and/or clinical data management experience preferred Experience in AWS preferred Experience setting up automated validation is preferred Knowledge of Data base and creating interactive Dashboards are preferred Proficiency in the use of Microsoft Office Suite of tools (Outlook, Word, Excel, etc.)

1.Create data cleaning reporting solutions study status metric, and monitoring reports and visualizations required per standard and study specific data review plans. 2. Develop library of reusable checks working closely with data engineers and config specialists. 3. Collaborate with cross functional teams in creating business rules and automated check library across TAU. 4. Serves as a technical resource for creating data analytics to help with data validation and cleaning. 5. Provide programming expertise for data cleaning to efficiently ensure high quality data. 6. Ensure accurate delivery by creating macros for Standard listings for the department based on specifications. 7. Develop programs that generate CRF and Query metrics, including ad-hoc Sponsor and internal programming requests. 8. Ability to set up and configure analytics for coding reports, safety review and any risk-based monitoring activities. 9. 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.) 10. Understanding of regulatory requirements and relevant data standards; CDISC knowledge and experience are preferable 11. Technical skills and experience using relational databases (e.g. MS SQL Server, Redshift, or Oracle), 12. EDC build and/or clinical data management experience preferred 13. Experience in AWS preferred 14. Experience setting up automated validation is preferred 15. Knowledge of Data lake and creating interactive Dashboards are preferred 16. Proficiency in the use of Microsoft Office Suite of tools (Outlook, Word, Excel, etc.)

Role & responsibilities: 1.Create data cleaning reporting solutions study status metric, and monitoring reports and visualizations required per standard and study specific data review plans. 2. Develop library of reusable checks working closely with data engineers and config specialists. 3. Collaborate with cross functional teams in creating business rules and automated check library across TAU. 4. Serves as a technical resource for creating data analytics to help with data validation and cleaning. 5. Provide programming expertise for data cleaning to efficiently ensure high quality data. 6. Ensure accurate delivery by creating macros for Standard listings for the department based on specifications. 7. Develop programs that generate CRF and Query metrics, including ad-hoc Sponsor and internal programming requests. 8. Ability to set up and configure analytics for coding reports, safety review and any risk-based monitoring activities. 9. 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.) 10. Understanding of regulatory requirements and relevant data standards; CDISC knowledge and experience are preferable 11. Technical skills and experience using relational databases (e.g. MS SQL Server, Redshift, or Oracle), 12. EDC build and/or clinical data management experience preferred 13. Experience in AWS preferred 14. Experience setting up automated validation is preferred 15. Knowledge of Data lake and creating interactive Dashboards are preferred 16. Proficiency in the use of Microsoft Office Suite of tools (Outlook, Word, Excel, etc.)

i) Write and optimize SQL queries, primarily using MS SQL Server and AWS Athena, to extract and analyze data. ii) Investigate and research data discrepancies, providing clear documentation of findings and resolutions. iii) Collaborate with business and technical teams to translate data insights into actionable recommendations. iv) Develop reports and dashboards using Tableau or similar visualization tools (Nice to have). v) Communicate insights and findings effectively in English (verbal and written).

To use advanced data analysis for providing actionable insights that support data-driven decision-making within teams by utilizing R programming language, developing automation tools for oversight and standardized reporting templates to enhance the efficiency and consistency of information across the organization. Role & responsibilities Data Analytics and Reporting Design and develop detailed reports leveraging various databases, using R language to generate meaningful insights. Proactively develop automation tools, standardized reporting tools & templates (including slides) for use by stakeholders to enable consistent presentation of information across the teams. Create visualizations and trend analysis to identify patterns in study performance or other relevant areas. Monitor and document any bugs or issues related to the reporting tools and work with the concerned teams for timely resolution. Stakeholder Collaboration Collaborate with cross-functional teams proactively to gather and understand reporting requirements, translating them into programming Specifications. Assist leadership teams in data-driven decision making by providing actionable insights such as budget projections, resource allocation, Full Time Equivalent (FTE) predictions etc. through various reports. Act as the bridge between data teams and other departments, gathering requirements and output Specifications for new analytical tools or reports. Utilize data to perform analytics, thereby predicting future requirements, provide real-time analysis of study quality metrics, site performance metrics and generate reports for Source Data Verification (SDV). Analytics Project Management Maintain clear documentation of methodologies, data processes, and report-generation protocols to ensure transparency and reproducibility of analyses. Assist in the development of performance metrics based on communicated requirements, contributing to the overall efficiency and effectiveness of clinical operations. Develop clear and concise communication around project progress, key findings, and recommendations to various stakeholders. Keep track of the number of projects progress and provide regular reports to Associate Director, Biostatistics and Analytics. Policies, Processes & Procedures Conduct day to day activities & follow all relevant policies, processes, standard operating procedures and instructions so that work is carried out in a controlled and consistent manner. Assist in the updating departmental and role Specific programming standards, Standard Operating Procedures (SOPs), Working Procedural Documents (WPDs), and templates to reflect current practices and regulatory requirements. Implement new initiatives/ projects as per established policies to meet future requirements of the function. Comply with the company's Quality and Information Security Management Systems and applicable national and international legislation, including legislation for data protection Key interactions Clinical operations Biostatisticians Clinical Informatics Clinical Data Management Project Management Functional / Behavioral Skills required to execute the role R Programming Automation and Tool Development Data Analysis and Interpretation Documentation and Reporting Project Management Communication Detail orientation Problem solving Time management Hands on experience in data analysis, preferably within a clinical research or healthcare setting

Desired Skills and experience Candidates should have a B.E./B.Tech/MCA/MBA in Finance, Information Systems, Computer Science or a related field Strong experience in R programming and package development Proficiency with GitHub and unit testing frameworks. Strong documentation and communication skills. A background or work experience in biostatistics or a similar discipline (Preferred). Expert knowledge in Survival Analysis (Preferred) Statistical model deployment, and end-to-end MLOps is nice to have. Having worked extensively on cloud infrastructure, preferably Databricks and Azure. Shinydevelopment is nice to have. Can work with customer stakeholders to understand business processes and workflows and can design solutions to optimize processes via streamlining and automation. DevOps experience and familiarity with software release process. Familiar with agile delivery methods. Excellent communication skills, both written and verbal Extremely strong organizational and analytical skills with strong attention to detail Strong track record of excellent results delivered to internal and external clients Able to work independently without the needs for close supervision and also collaboratively as part of cross-team efforts Experience with delivering projects within an agile environment

We are seeking a Clinical Programmer with expertise in JReview listings, dashboards, and visualizations to support clinical data review, safety monitoring, data validation and clinical data visualization, analysis, and reporting for clinical trials. Required Candidate profile 4+ Years of experience. MS SQL Server and R, R packages e.g., Tidyverse, ggplot2, dplyr, Pipeline creation, or Oracle, SAS, Python, Elluminate, BOXI, Spotfire, Tableau, Macros, RShiny, JReview, Plotly

Hello, We are looking for Data Scientist role to work with one of the American Multinational based at Bangalore/Chennai/Pune/Gurgaon/Hyderabad. Key Responsibilities: • R Programming Transition: Analyze and understand the existing application to effectively transition it to R. Re-write or optimize existing code to ensure efficiency and scalability in R. Transform R models to Python as needed. • R Shiny Dashboard Development: Design, develop, and implement interactive and visually appealing R Shiny Dashboards. Integrate data sources and ensure real-time data updates in the dashboards. Collaborate with stakeholders to gather requirements and provide dashboard solutions that meet business needs. • Cloud Server Hosting: Set up and configure AWS for hosting R Shiny Dashboards. Ensure secure, scalable, and reliable AWS hosting environments. • Project Leadership and Collaboration: Collaborate with cross-functional teams including data scientists, analysts, and IT staff. Required Skills and Qualifications: • Bachelors or Masters degree in Computer Science, Data Science, Statistics, or related field. • Proven experience in R programming and developing R Shiny applications and strong python skills. • Strong understanding of data manipulation and visualization in R. • Experience with cloud platforms such as AWS, Google Cloud, or Azure, specifically in deploying R Shiny Dashboards. • Familiarity with DevOps practices, including CI/CD pipelines and version control (e.g., Git). • Excellent problem-solving skills and ability to work independently and as part of a team. • Strong communication skills to effectively collaborate with technical and non-technical stakeholders. Notice - Immediate/15 days/1 Month Interested candidates may apply on saritha.nair@reynasolutions.com Regards, Sarita Nair

Location Bengaluru : We are seeking a highly skilled and motivated Data Engineer to join our dynamic team. The ideal candidate will have extensive experience in data engineering, with a strong focus on Databricks, Python, and SQL. As a Data Engineer, you will play a crucial role in designing, developing, and maintaining our data infrastructure to support various business needs. Key Responsibilities Develop and implement efficient data pipelines and ETL processes to migrate and manage client, investment, and accounting data in Databricks Work closely with the investment management team to understand data structures and business requirements, ensuring data accuracy and quality. Monitor and troubleshoot data pipelines, ensuring high availability and reliability of data systems. Optimize database performance by designing scalable and cost-effective solutions. What s on offer Competitive salary and benefits package. Opportunities for professional growth and development. A collaborative and inclusive work environment. The chance to work on impactful projects with a talented team. Candidate Profile Experience: 8+ years of experience in data engineering or a similar role. Proficiency in Apache Spark. Databricks Data Cloud, including schema design, data partitioning, and query optimization Exposure to Azure. Exposure to Streaming technologies. (e.g Autoloader, DLT Streaming) Advanced SQL, data modeling skills and data warehousing concepts tailored to investment management data (e.g., transaction, accounting, portfolio data, reference data etc). Experience with ETL/ELT tools like snap logic and programming languages (e.g., Python, Scala, R programing). Familiarity workload automation and job scheduling tool such as Control M. Familiar with data governance frameworks and security protocols. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Education Bachelor s degree in computer science, IT, or a related discipline. Not Ready to Apply Join our talent pool and we'll reach out when a job fits your skills.

Role: Data Science Leader Experience: 10-15 years of overall experience, with at least 5+ years in Data science roles along with 24 years in a Leadership or Managerial capacity. Technical Skills: Data Science & Machine Learning Deep understanding of statistical modeling, predictive analytics, clustering, NLP, and time series forecasting. Strong grasp of model evaluation, fairness, explainability, and business alignment. Programming Proficient in Python (or R) with experience in data science libraries like pandas, NumPy, scikit-learn, TensorFlow, or PyTorch. Ability to read and review code, debug, and advise on best practices. Cloud Computing Working knowledge of at least one major cloud platform (AWS, GCP, Azure). Experience with cloud-native tools for data storage (S3, BigQuery), compute (EC2, GKE, Lambda), and ML services (SageMaker, Vertex AI, Azure ML). Data Engineering Fundamentals Understanding of data pipelines, ETL/ELT processes. Familiarity with tools like Airflow, dbt, Spark, SQL. Data Visualization Experience with dashboards and reporting tools (Tableau, Power BI, Looker, or custom visualizations using Plotly/Altair). Skilled in transforming complex outputs into clear, compelling narratives for non-technical stakeholders. MLOps / Deployment Familiarity with modern ML development and deployment practices. Basic understanding of deploying models to production, CI/CD pipelines, and monitoring. Generative AI Familiarity with GenAI concepts, including large language models (LLMs), embeddings, prompt engineering, and RAG pipelines. Familiarity with tools and APIs like OpenAI, Hugging Face, LangChain. Leadership & People Management Team Management Experience leading and mentoring teams of 510 individuals across varying levels. Proven track record of building and scaling Data science teams, delivering impactful projects Conduct performance reviews, manage career growth, and foster a healthy team culture. Cross-Functional Collaboration Proven ability to work closely with product, engineering, marketing, and business teams. Hiring & Talent Development Skilled in identifying top talent, conducting interviews, onboarding, and team capability building. Project & Stakeholder Management Project Management Experienced in managing multiple projects simultaneously. Comfortable with Agile methodologies, sprint planning, and delivery tracking. Stakeholder Communication Translating technical insights into business terms. Communicates technical insights clearly to senior executives. Problem Solving & Scope Management Ability to break down ambiguous business problems into solvable components. Define scope and ensure projects align with business impact. Strategic Thinking Aligns team objectives with company vision and business goals. Drives roadmap planning, and long-term capability building. Business Acumen Domain Knowledge Deep understanding of any one business vertical among the following e.g., telecom, BFSI, fintech, e-commerce, healthcare etc. Impact Orientation Focus on delivering measurable business value from data science efforts. Strong grasp of metrics, KPIs, and ROI-driven thinking. Strategic Thinking Ability to align data science efforts with long-term business goals. Soft Skills Exceptional communication, both verbal and written. Decision-Making: Balanced between data, intuition, team input and strategic vision. Empathy & Emotional Intelligence: Especially for managing team dynamics and motivation. Adaptability: In the face of changing priorities or business goals and organizational change.

Role : Name: Open Source Transition Lead Office : Client Deployed Mode : Hybrid Location : Banglore. Note: This role is an opportunity to Client Deployed model under EY payrolls. This is a initial duration of 6 months role, the tenure is subject to extension basis performance. Job Responsibility: • Transition from Sas to open source • Adopting R as open-source language Python • Scope is R&D wide ( 1000+ users) • Upskilling, right tools and program themselves and standard tools • Systems have Sas code and need to be decommissioned Big tech component • Business and Tech change • User engagement, comms, and training and getting voice of Customer (making training program. Please share ur updated resume to sai.m@in.ey.com

Hi , We are hiring for Leading ITES Company for SAS Programmer & CDB Programmer ( J Reviewer/Python/SAS) Role & responsibilities: 1.Create data cleaning reporting solutions study status metric, and monitoring reports and visualizations required per standard and study specific data review plans. 2. Develop library of reusable checks working closely with data engineers and config specialists. 3. Collaborate with cross functional teams in creating business rules and automated check library across TAU. 4. Serves as a technical resource for creating data analytics to help with data validation and cleaning. 5. Provide programming expertise for data cleaning to efficiently ensure high quality data. 6. Ensure accurate delivery by creating macros for Standard listings for the department based on specifications. 7. Develop programs that generate CRF and Query metrics, including ad-hoc Sponsor and internal programming requests. 8. Ability to set up and configure analytics for coding reports, safety review and any risk-based monitoring activities. 9. 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.) 10. Understanding of regulatory requirements and relevant data standards; CDISC knowledge and experience are preferable 11. Technical skills and experience using relational databases (e.g. MS SQL Server, Redshift, or Oracle), 12. EDC build and/or clinical data management experience preferred 13. Experience in AWS preferred 14. Experience setting up automated validation is preferred 15. Knowledge of Data lake and creating interactive Dashboards are preferred 16. Proficiency in the use of Microsoft Office Suite of tools (Outlook, Word, Excel, etc.) To Apply, WhatsApp 'Hi' @ 9151555419 Follow the Steps Below: >Click on Start option to Apply and fill the details >Select the location as Other ( to get multiple location option ) a) To Apply for above Job Role ( Mumbai ) Type : Job Code # 83 b) To Apply for above Job Role ( Pune ) Type : Job Code # 84

Hi, We are hiring for ITES Company for SAS + CDB Programmer Role. Job description: Programming, specifically J Review, SQL, R and GitHub. Good to have Python. • Create data cleaning reporting solutions study status metric, and monitoring reports and visualizations required per standard and study specific data review plans. • 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 • Technical skills and experience using relational databases (e.g. MS SQL Server, Redshift, or Oracle), • EDC build and/or clinical data management experience preferred • Experience in AWS preferred • Experience setting up automated validation is preferred • Knowledge of Data base and creating interactive Dashboards are preferred • Proficiency in the use of Microsoft Office Suite of tools (Outlook, Word, Excel, etc.) Key Skills: a) Minimum 3 years of Experience in SAS CDB Programmers with R programming. b) Good to have Python knowledge c) Any Graduate To Apply, WhatsApp 'Hi' @ 9151555419 Follow the Steps Below: >Click on Start option to Apply and fill the details >Select the location as Other ( to get multiple location option ) a) To Apply for above Job Role ( Pune ) Type : Job Code # 84 b) To Apply for above Job Role ( Nagpur ) Type : Job Code # 85 c) To Apply for above Job Role ( Bangalore ) Type : Job Code # 86

Python developer+ R Programming 4 to 7 years Bangalore (Whitefiled) WFO CTC:-19 LPA NP:-Immediate (5 days WFO) 2 yrs relevant exp should be have in R Programing

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

Hi We are hiring for Leading ITES Company for SAS+R Programmer Profile. Role & responsibilities: a) Any Graduate b) Minimum of 3 years of experience in SAS + R programming c) Familiarity with data visualization techniques and tools in R d) CDISC knowledge & experience 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 Follow the Steps Below: >Click on Start option to Apply and fill the details >Select the location as Other ( to get multiple location option ) a) To Apply for above Job Role ( Bangalore ) Type : Job Code # 375 b) To Apply for above Job Role ( Hyderabad ) Type : Job Code # 376

Hi We are hiring for Leading ITES Company for SAS+R Programmer Profile. Role & responsibilities: a) Any Graduate b) Minimum of 3 years of experience in SAS + R programming c) Familiarity with data visualization techniques and tools in R d) CDISC knowledge & experience 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 Follow the Steps Below: >Click on Start option to Apply and fill the details >Select the location as Other ( to get multiple location option ) a) To Apply for above Job Role ( Mumbai ) Type : Job Code # 373 b) To Apply for above Job Role ( Pune ) Type : Job Code # 374

Hi , We are hiring for Leading ITES Company for R Biostatistical Programmer Profile. Job Description: Minimum 5 to 8 years experience in Statistical Programming in clinical domain Experience and understanding of ICH GCP principles and clinical drug development process Good knowledge of CDISC SDTM and Adam standards Good knowledge and hands on experience in Base SAS, SAS / STAT, SAS /Graph modules and R Statistical programming Preferred Educational Qualification for the role: Bachelors or Masters degree or equivalent in statistics, mathematics, life science, engineering or computer related subject Essential Experience for the Role : Good knowledge and hands on experience in R Statistical Programming in Clinical Domain To Apply, WhatsApp 'Hi' @ 9151555419 Follow the Steps Below: >Click on Start option to Apply and fill the details >Select the location as Other ( to get multiple location option ) a) To Apply for above Job Role ( Mumbai ) Type : Job Code # 291 b) To Apply for above Job Role ( Pune ) Type : Job Code # 292

Role: Specialist Business Intelligence Location: Chennai Education: BE / BTech(any stream except IT & CS) Job purpose : To support Globally to enhance the working condition of all the Windfarms in Services. Dashboard creation for the stakeholders as per the requirement. Analyzing of Business data. Key accountabilities / Responsibilities: Develop and deploy dashboards to collect data-backed insights. Supporting business intelligence strategies with quantitative analysis Ticket handling focuses on data gathering, analysis and interpreting key business data sets Support operational topics for availability reporting. Support internal stakeholders with root cause analysis and ad hoc investigations using operational turbine data to identify and interpret component driving performance issues Career / Job experience : Minimum 6-7 Years Data Analysis, Business Intelligence, Data Visualization Wind industry or Renewable is added advantage Dashboard developments are must Strong organizational and time management skills with the ability to prioritize tasks effectively Strong multitasking skills Good stakeholder management, excellent communication and interpersonal skills to collaborate with internal and external stakeholders Skills: R/Python programming + R Shiny, Power Bi, SQL + SQL Server, implementing and maintaining data management solutions

Strong experience in Statistical Programming(SDTM, ADAM, TLF )in clinical domain using R (must required) and SAS. Data analysis, visualization and advanced statistical modeling using R and SAS will be an added advantage. Should have experience in programming SDTM, ADAM, TLF in the clinical domain. Develop, validate, and implement statistical models using SAS and R. Analyze large datasets to identify trends, patterns, and insights. Design and generate reports and dashboards for various stakeholders. Automate data processing tasks using SAS macros and R scripts. Collaborate with cross-functional teams to understand data needs and deliver actionable insights. Ensure data quality and integrity through rigorous testing and validation. Provide recommendations based on data analysis to support strategic decisions Excellent analytical, problem-solving, and communication skills. Ability to manage multiple tasks and projects with a high attention to detail.