Sr. Statistical Programmer

San Francisco, California | Contract

Post Date: 09/06/2017 Job ID: 3261 Industry: Research

Our client is a clinical-stage biopharmaceutical company developing a pipeline of drug candidates which are designed to improve the benefits of drugs for patients. 

 

Duties:
  • Provide strong technical statistical programming to Statistical Programming function within Biometrics.
  • Provide expertise and hands on support to clinical projects across multiple therapeutics areas.
  • Responsible for processing of clinical data required for analysis of clinical trials for Phase 1-4.
  • Develop SAS coding and table templates for preparing, processing and analyzing clinical data.
  • Generate and QC summary tables, data listings and graphs for in-house analyses of study data or publications using SAS standard coding practices.
  • Create/review programming plan, specifications for datasets and TLFs.
  • Familiar with CDISC conventions, i.e., SDTM and ADaM models and hands on experience in implementing these models.
  • Validate work of other programmer/analysts at CRO or in-house.
  • Provide guidelines, review, and QC CRO deliverables to ensure the quality of deliverables.

 

Skills:

  • A minimum 8 years relevant career experience in the pharmaceutical or biotechnology industry.
  • Experience in Oncology and or CNS therapeutic areas preferred.
  • Experience in ISS, NDA/BLA submission and understanding of regulatory requirements preferred.
  • Very good knowledge of SAS programming and associated features and their applications in pharmaceuticals industry environment in particular clinical trial data setting.
  • Strong understanding of clinical trial data and hands on in data manipulations, analysis and reporting of analysis results.
  • Thorough understanding of relational database components and theory.
  • Excellent oral and written communication skills.

 

Education:

  • A minimum of a Bachelor's degree in Computer Science, Mathematics, Statistics, and related areas is required.
  • Equivalent experience may be accepted.
Apply Online

Not ready to apply?

Send an email reminder to:

Share This Job:

Related Jobs: