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Role Description

The R programming consultant will have a significant impact in shaping our business function by supporting adoption of the R programming language. This role will primarily be responsible for migration of SAS and VBASIC legacy programs to the R programming language, inclusive of specifications development, coding, and validation. This role will also support training and mentoring of experienced SAS users as they migrate to the R environment.

• 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.

Qualifications

• A master’s degree in mathematics, statistics, or computer science is preferred. Other candidates with degrees in a quantitative field and advanced undergraduate or graduate-level statistical coursework will be considered.
• A minimum of 8 years in a statistical programming capacity, preferably within the medical device or biopharmaceutical industry.
• 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.
• Excellent written and verbal communication skills, interpersonal skills, problem solving and critical thinking skills.

Requirements

• This role will report to the Senior Director of Clinical Data Management and Data Engineering within Medical Affairs.