Clinical SAS and R Programmer
6 hours ago
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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