Sr. SAS Programmer


The Medical Affairs Statistical Programming Group within the Department of Biostatistics is responsible for developing software for the analysis of clinical study data for the Medical Affairs group.

Essential Duties:
  • Program complex adhoc analyses in a fast-paced environment for medical affairs/publication purposes working outside of the standard programming function for R&D clinical trials
  • Attend multi-disciplinary team meetings, representing the programming function.
  • Develop software systems to generate displays of clinical study data as tables, listings, and graphs for Medical Affairs analysis requests.
  • Assist statisticians by suggesting algorithms to address novel analysis requests
  • Create and document archives of software, outputs, and analysis files.
  • Create and maintain department SOPs related to statistical programming.
  • Review draft clinical reports, journal articles, slide presentations, and other documents to assure that results are reported accurately.
  • Possibly oversee work of internal contract programmers and external vendors.
  • Provide time and resource estimates for project planning.

Required Knowledge, Skills, and Abilities
  • Skilled in programming with SAS. Knowledge of additional programming languages a plus.
  • Good knowledge of statistics methods such as GLM, Survival Analysis and the drug development process
  • Experience as a lead programmer for a project and/or compound within the medical affairs environment.
  • Ability to balance and prioritize multiple assignments and respond quickly to adhoc requests.
  • Experience in performing analysis to support publications, conference presentations and internal decision making.
  • Experience overseeing the work of internal contractors and possibly external vendors (CROs)
  • Familiarity with CDISC standards, including SDTM and ADaM models
  • Solid verbal and written communication skills

Required/Preferred Education and Licenses
  • Bachelor’s Degree in Computer Science, Statistics, Mathematics, Life Sciences or other relevant scientific fields; Master’s Degree preferred
  • Minimum of 7 years of experience in developing software to analyze clinical data using the SAS system
Regards,
 
Sara Almas Khan | Technical recruiter
Direct: 908-955-0655 |  sara.k@intellectt.com




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