Statistical Programmer

– 12 month onsite contract Connecticut

  • Develop and maintain SAS datasets as per the CDISC (SDTM and ADaM) standards;
  • Extract data from various databases;
  • Develop and maintain SAS and R programs to analyze the data and produce reports consisting of Tables, Listings and Graphs that are generated from various databases;
  • Apply Programming Development Life Cycle (PDLC) principles;
  • Develop programs using SAS(Statistical Analysis Software) and R;
  • Perform Programming using SAS software and R,
  • R Shiny analyzing the clinical trial data to produce the outputs for the clinical trial report;
  • Prepare specifications and process flow diagrams, and develop programming code;
  • Write specifications for the analysis datasets and report (Tables, Listings and Graphs) generation;
  • Prepare reports to assist management in problem analysis, and submit recommendations for solution;
  • Create primary and validation programs;
  • Develop, test, debug and deploy the programs in coordination with other line functions as per standard operating procedures (SOPs);
  • Maintain study documentation;
  • Document and revise system design procedures, test procedures, and programming standards;
  • Analyze user/customer needs and software requirements to determine feasibility of design within time and cost constraints;
  • Create analysis files (datasets), and reports Tables, Listings and Figures;
  • Consult with customers about software design, maintenance, enhancement and customization;
  • Store, retrieve, and manipulate data for analysis and reporting;
  • Expand or modify existing programs for efficiency and reusability; and Work on other ad hoc tasks as assigned.

Skills

  • 3-5 years Pharma experience supporting clinical trials.
  • Good understanding of Clinical Trial Data analysis.
  • Experience with SAS, (R and R Shiny optional).

Education

  • Min. Bachelors' Degree 
  • MS in Comp. Science or any other related – preferred
  • MS Biostat – Advanced SAS Certification required – can be verified via the Public Registry of SAS Certified Professionals – preferred