Clinical SAS and R Programmer

6 hours ago


Remote, Oregon, United States IT ENGAGEMENTS INC Full time
Job Description

IT Engagements Inc. is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. We are seeking a highly skilled SAS and R Programmer for a large Pharma company.

Job Summary:

We are looking for a talented SAS and R programmer to join our team. The successful candidate will design, develop, evaluate, and modify SAS and R programs to analyze and evaluate clinical data. The ideal candidate will have extensive knowledge and skills in SAS and R programming, with experience in pharmaceutical, biotechnology, diagnostics, or medical device environments.

Key Responsibilities:

  • Design, develop, evaluate, and modify SAS and R programs to analyze and evaluate clinical data.
  • Plan, write, and execute statistical programs in SAS and R designed to analyze data from databases. Produce tables, listings, and figures. Assess data accuracy and consistency.
  • Apply extensive knowledge and skills, may act as lead programmer on project team(s). Consult in the design and development of clinical trials, protocols, and case report forms.
  • May supervise one or two lower-level programmers assigned to project and/or may provide performance feedback in review of others.
  • Validate, document, and archive single-use programs. Validate and document SAS macro library.
  • Explore new programming technology. Test, document, and integrate software tools into programming procedures. Document and review work processes/SOPs.
  • Troubleshoot and resolve difficult problems in creative ways, and take a new perspective on existing solutions, exploring and implementing new concepts and methodologies. Translate technical knowledge into business strategy.
  • Lead internal/external teams and build professional relationships.

Requirements:

  • 8+ years of relevant work experience as a statistical programmer using SAS in pharmaceutical, biotechnology, diagnostics, or medical device environments.
  • 3+ years of R programming experience.
  • 8+ years experience with MS or 5 years with PhD of relevant work experience as a statistical programmer using SAS in a pharmaceutical and biotechnology environment.

Education:

Bachelor's degree in statistics, biostatistics, mathematics, computer science, or related field, or equivalent combination of education.



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