SAS/Statistical Programmer - FTSE 10 - REMOTE - 3 Months+

  • Job ref:

    SAS Statistical Programmer

  • Location:

    Remote / Southampton

  • Sector:


  • Job type:


  • Contact:

    Nick Hodson

  • Email:

  • Published:

    over 1 year ago

  • Duration:

    3 Months+

  • Start date:


  • Consultant:


On behalf of a Global Leader we are currently looking for a SAS Statistical Programmer to join the partner on an initial 3 Months+ Contract.


  • Aid product design and development by establishing best approaches through statistics and design of experiments.
  • Apply SAS programming and analytical skills using BASE/SAS, SAS/STAT, SAS/GRAPH and SAS MACROS
  • Being able to work with databases (SQL)
  • Provide advice and facilitate statistical analysis to scientists across R&D.
  • Design, develop, evaluate, validate, and modify computer programs using SAS to analyse pre-clinical, clinical and survey data.
  • Aid to the development of Statistical Analysis plans


Experience Required

  • Understanding of statistical methods and application of Data Standards to clinical and non-clinical studies.
  • Creation/QC of SDTM/ADaM dataset specification, datasets and TLFs (Tables, Listings and Figures) via using efficient SAS programming methodologies.
  • Highly proficient in Statistical SAS programming. Ability to develop SAS programming skills and related processes/procedures.
  • Provide the training to the staff or subordinates as/if required.

Technical / Functional / Leadership Skills Required

  • Liaise with CROs/Vendors for any statistical programming issues.
  • Proactive; self-driven with strong interpersonal, organizational, and multi-tasking skills.
  • Good communication/interpersonal skills.
  • Cross functional working and leading projects to deliver on time in full

Education / Qualifications / Certifications Required

  • Bachelor’s degree in Computer Science, Statistics, Mathematics, other subject with high statistical content pharmaceutical/biotech or CRO setting using SAS with clinical and/or non-clinical experience


  • Experience in additional statistical software packages eg. Minitab/JMP, R, Python
  • Data Sciences knowledge
  • Experience with FDA regulatory submissions
  • Implementation of CDISC, CDASH and SDTM standards