| Looking for R Programmer in remote at Remote, Remote, USA |
| Email: [email protected] |
| From: Mike, RHG [email protected] Reply to: [email protected] Hi All, Hope you all are doing great, Please go through the below job description and share your qualified consultants. R Programmer 100% REMOTE We are in search of an experienced R Programmer Key Responsibilities: Statistical Analysis and Visualization: Develop and maintain robust R scripts for the generation of tables, listings, and graphs (TLGs) to support clinical study reports, publications, and other regulatory submissions. Interpret statistical analysis plans and develop corresponding programming solutions. Code Conversion: Convert existing SAS code to R and vice versa, ensuring consistency and accuracy in results. Collaborate with SAS programmers to understand the intricacies of the original code and ensure a seamless transition. Shiny App Development: Design, develop, and maintain interactive Shiny applications to visualize and interpret clinical data. Collaborate with cross-functional teams to gather requirements and ensure the Shiny apps meet the needs of end-users. Python Integration: Utilize Python for specific data processing tasks, integration with other systems, or to complement R-based analyses. Ensure seamless interoperability between R and Python scripts. Documentation & Quality Control: Maintain thorough documentation of all programming activities to ensure reproducibility and adherence to internal standards. Conduct rigorous quality control checks on all deliverables to ensure accuracy and compliance with regulatory standards. Collaboration & Communication: Collaborate closely with biostatisticians, data managers, and other stakeholders to understand project requirements and deliver timely results. Present findings and provide technical support to internal teams and external partners. Qualifications: Bachelor's degree in Statistics, Computer Science, or a related field. Advanced degrees preferred. Proficiency in R programming, with a strong understanding of statistical methods used in clinical research. Experience with SAS programming and code conversion between R and SAS. Familiarity with Shiny app development is a major plus. Knowledge of Python programming and its integration with R is highly desirable. Strong analytical and problem-solving skills. Excellent communication and collaboration skills. Detail-oriented with a commitment to accuracy and quality Thanks, Mike Keywords: rlang golang |
| [email protected] View all |
| Fri Sep 15 21:19:00 UTC 2023 |