▌Position Description:
We are seeking a skilled and motivated R Programmer to join our dynamic team focused on clinical trials. The successful candidate will play a key role in the development, validation, and analysis of R codes and packages tailored for clinical trial data. This position requires a strong background in statistical programming, data manipulation, and a proactive approach to problem-solving.
▌Key Responsibilities:
1. Code Development:
▪ Actively participate in the development of R codes and packages specifically designed for clinical trials.
2. Validation:
▪ Perform thorough validation of codes and analyses to ensure accuracy, reliability, and compliance with regulatory standards.
3. Programming Expertise:
▪ Independently design, develop, and debug R programs ranging from simple to complex within defined project timelines.
4. Statistical Analysis:
▪ Independently implement statistical analysis, data preparation, and data manipulation using R programs and packages.
5. Report Generation:
▪ Independently create statistical tables, figures, and listings in R for clinical trial data, contributing to the production of high-quality reports.
6. Documentation:
▪ Create and maintain comprehensive documentation for R programs, validation procedures, and results to facilitate transparency and reproducibility.
7. Collaboration:
▪ Collaborate with cross-functional teams, providing programming support and expertise as needed.
8. Project Assistance:
▪ Assist in the preparation of clinical/RWE study reports, manuscripts, and other scientific documents under the guidance of senior team members.
9. Adaptability:
▪ Perform additional tasks as assigned, demonstrating flexibility and a proactive approach to evolving project needs.
▌Qualificaions:
• Advanced knowledge of R programming
• Strong understanding of biostatistical principles
• Highly detail oriented, results driven
• Good organizational, interpersonal, leadership and communication skills
• Ability to independently manage multiple tasks and projects
• Minimum BS (MS preferred) in Data Sciences, Statistics, Mathematics, Computer Sciences or related field.
• 1+ years of experience in data sciences or research or drug industry using R.
• Experiences in R-shiny, SAS, Python, clinical trials are plus.
• Good documentation, communication and organization skills.
