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R Data Scientist Leader
3 weeks ago
We are seeking a skilled R Programming Lead to join our team. As the R Programming Lead, you will be responsible for providing technical expertise to the Statistical Programming team, ensuring the delivery of high-quality solutions that meet both internal and external requirements.
Your key responsibilities will include developing internal and external R packages for clinical trial analysis, validating R packages, leading implementation in R, training other Biostatistics team members, conducting statistical programming work of clinical data using R, identifying problems and developing global tools, creating and/or validating all safety and efficacy study output requirements, and collaborating with peers and statisticians to ensure quality and accuracy.
You will be working on a wide range of projects, from developing and validating R packages to leading implementation in R and training other team members. You will also be responsible for conducting statistical programming work of clinical data using R, identifying problems and developing global tools, and creating and/or validating all safety and efficacy study output requirements.
In this role, you will have the opportunity to work on complex projects, develop your skills and expertise, and make a meaningful contribution to the success of our team.
Required Skills and Qualifications- Minimum 5+ years of experience in R programming for clinical trial data including developing and validating R packages from CRO or Pharmaceutical Industry.
- Strong programming skills in R/R Shiny.
- Proven experience in applying R and R-Shiny for the analysis and reporting of clinical trials.
- Ability to reproduce statistical analysis using R.
- Strong skills in data visualization and data wrangling using R.
- Proficiency in using R packages for data exploration and visualization.
- Application of statistical methodology and concepts in clinical trial analysis.
- Experience with R-Shiny apps for data exploration.
- Advanced knowledge of industry standards including CDISC data structures as well as a solid understanding of the development and use of standard programs.
- In-depth understanding of the phases of clinical trials and the drug development process.
- Exposure to Late Phase & Real-World Evidence (RWE) studies is highly desirable.
This role offers a competitive salary, excellent benefits package, and opportunities for career growth and development.
OthersIf you are a motivated and experienced R programmer looking for a new challenge, we encourage you to apply for this exciting opportunity.
