Senior/ Principal Statistical Programmer (r/rshiny)

Syneos Health

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R/rshiny programming
Sas programming
Generate summary tables, data listings, graphs
** Syneos Health is seeking a Senior/Principal Statistical Programmer proficient in R/RShiny and SAS to join their team. The role involves developing programming code, ensuring quality deliverables, and mentoring junior staff within a collaborative environment focused on innovative solutions in biopharmaceuticals. **

Job Summary

  • Uses R/RShiny/SAS or other software to develop custom programming code to generate summary tables, data listings, graphs and derived datasets as specified in the statistical analysis plan and programming specifications.
  • Manages scheduling and time constraints across multiple projects at a time, sets goals based on priorities from management, and adapts to timeline or priority changes by reorganizing daily workload.
  • Contributes to the mentoring of programming personnel through developing training courses, presenting training materials, reviewing work, and providing feedback or guiding new associates in process.

Matching Summary

Match Score: 75

** Syneos Health is seeking a Senior/Principal Statistical Programmer proficient in R/RShiny and SAS to join their team. The role involves developing programming code, ensuring quality deliverables, and mentoring junior staff within a collaborative environment focused on innovative solutions in biopharmaceuticals. **

Skills & Requirements

Must-have

  • R/RShiny programming
  • SAS programming
  • generate summary tables, data listings, graphs
  • statistical analysis plan
  • programming specifications
  • validation programming
  • ICH guidelines

Nice-to-have

  • accelerate customer success
  • Total Self culture
  • diversity of thoughts, backgrounds, cultures, and perspectives
  • mentoring of programming personnel

Key Requirements

  • Advanced degree in Statistics, Computer Science, or a related field
  • Extensive experience in statistical programming
  • Proficiency in SAS, R, RShiny or Python
  • Strong understanding of statistical methods
  • SAS Certified Advanced Programmer for SAS 9 or equivalent certification preferred

Work Rights

Not specified

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