Work closely with a cross functional team within biostatistics data management and analytics to transition applications written in SAS or VBASIC to R.
Conduct code review and technical assessment of legacy programs and suitability for migration to R.
Recode applications in SAS to R; Select appropriate R packages functions and algorithms to migrate legacy SAS programs to the R environment.
Develop and maintain documentation associated with migration activities including programming specifications validations plans test cases and reports.
Support training and mentoring of experienced SAS users as they migrate to the R environment.
Candidates must have experience programming in SAS and R directed towards analysis of clinical trial data and in supporting ETL pipelines from clinical data management to biostatistics.
Ideal candidates will have experience supporting transition of statistical analysis programs from SAS to R.
Strong programming experience within SAS R and SQL is required. Experience with Python VBASIC and a dashboard language such as PowerBI Qlik or Tableau is a plus.
Experience with modern database platforms such as SnowFlake and Delta DataLake is desired.
A minimum of 8 years in a statistical programming capacity preferably within the medical device or biopharmaceutical industry.
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