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Senior Statisitcal Programmer

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About the role

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Date Posted: 5th April 2017
Date Closing: date closing – 2 May 2017

Salary: Competitive salary is on offer.
Location: Marlow and Oxfordshire
 
Job Title: Senior Statistical Programmer
 
About the Company: ICON has partnered with a highly prestigious organization to build a new big team in Data Management and Statistical Programming. We are looking for interested, enthusiastic and highly experienced Senior Statistical Programmers who want to become a part of something new and exciting.
 
Job description:
 
  • Provide programming input to CRF, SAP, analysis file specifications, tables, figures, listings (TFLs) shells.
  • Write SAS programs to generate derived analysis data sets, perform analysis and TFLs.
  • Perform ad hoc flexible and rapid programming arising from questions generated from planned analyses and results.
  • Perform programming validation to ensure quality of analysis data sets and programming outputs.
  • Provide comments to the design and checking of clinical trial database for proper data capture and data quality.
  • Create Data Definition Tables (DDT) and convert TFLs to required format for eSubmission.
  • Convert, check and integrate multiple sources of incoming data into the creation of analysis data sets.
  • Develop advanced MACROs
 
 
Job Skills
 
 
  • Master degree in Computer Science or similar
  • Highly experienced as a SAS Programmer in the pharmaceutical industry.
  • Work experience as a SAS programmer in UK and India to liaise between both teams.
  • Working knowledge of CDISC data standards including ADaM and SDTM is a must.
  • Excellent skills in BASE/SAS, SAS/SQL, SAS/MACROS, SAS/ODS and SAS/STAT in a Windows environment.
  • Proven experience in development of advanced MACROs (such as MACROs to support analysis data set and TFL creation) with high programming efficiency.
  • Deep understanding of the programming and validation/QC process (inputs, requirements, specifications).
  • Working experience in pooling analysis datasets across multiple clinical studies (or equivalent).
  • Demonstrated skills in developing data sets and TFLs in line with sponsor specifications.
  • Working knowledge of database design/structures and basic statistics.
  • Good understanding of regulatory requirements relevant to statistical programming (e.g. GCP, ICH).
  • Strong knowledge of / experience with SAS and other relevant programming software. 
 
 
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