Overview
Are you a passionate R Programmer with experience in clinical trials. This could be the next position for you.
Work as a R Programmer clinical and non-clinical trials; producing complex datasets and outputs to excellent quality whilst adhering to deliverable timelines. Conversion of R to SAS and visa-versa; producing, reviewing and updating complex data specifications; creating and debugging complex macros; understanding Statistical Analysis Plans (SAPs) and output shells for day to day programming activities. Excellent team work ethos, willingness to help others and learn new skills from working in a team environment.
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
Educated to BSc or above within Computer Science, Mathematics or a Science related discipline
- 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.
- SAS Programming Experience within the pharmaceutical industry· SAS Programming Experience within the pharmaceutical industry· Good awareness of clinical trial issues, design, and implementation.· Familiarity with GCP and regulatory requirements· Experience of programming to SDTM and ADaM standards"