Statistical Programmer

Date: May 13, 2022

Location: Shanghai, CN

Company: Cytel Software Corporation

As a Statistical Programmer, you will leverage your advanced SAS programming skills to support or lead one or more Phase I-IV clinical trials, with a focus on any of the following studies; Immunology, Oncology, Cardiovascular, Infectious Disease, Early Development, or Medical Affairs. 


  • Performing data manipulation, analysis and reporting of clinical trial data, both safety and efficacy, utilizing SAS programming
  • Applying your SAS programming skills, to create and validate datasets/analysis files, tables, listings, and figures ( TLF s)
  • Generating complex ad-hoc reports
  • Preparing and validating submission packages
  • Applying your strong understanding/experience with Efficacy analysis
  • Preparing submission packages
  • Performing lead duties when called upon
  • Serving as team player, with a willingness to go the extra distance to get results, meet deadlines, etc.  Being adaptable and flexible when priorities change




  • At least 3+ years of relevant experience in statistical programming in the clinical development environment
  • BA/BSc or higher degree in Statistics, Mathematics, Computer Science, Life Sciences or other related scientific subject
  • Excellent SAS data manipulation, analysis and reporting skills
  • Familiarity with drug development life cycle and experience with the manipulation, analysis and reporting of clinical trials data
  • Ability to work effectively and successfully in a globally dispersed team environment with cross-cultural partners
  • Excellent oral and written English communication skills
  • Ability to provide quality output and deliverables, in adherence with challenging timelines
  • Willingness and ability to learn and follow Company’s standard processes and procedures.
  • Ability to effectively perform complex statistical programming and related tasks
  • Willingness and ability to provide guidance to team members on technical and process questions


Preferred Qualifications:

  • In depth knowledge of SAS Graph and other SAS Statistical packages
  • Prior publication work experience