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    Senior Statistical Programmer - London, United Kingdom - Lifelancer

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    Description

    As a Senior Statistical Programmer you willleverage your advanced SAS programming skills and proficiency inCDISC standards (SDTM ADaM) to support or lead one or more PhaseIIV clinical trials. This role can be performed as fullyremote.
    How you willcontribute:

    • Performingdata manipulation analysis and reporting of clinical trial databoth safety and efficacy utilizing SASprogramming
    • Generating and validating analysisdatasets/analysis files and complex tables listings and figures (TLFs)
    • Production and QC / validationprogramming
    • Generating complex adhoc reportsutilizing raw data and analysisdatasets
    • Applying strongunderstanding/experience of Efficacyanalysis
    • Communicating with and/or respondingto internal crossfunctional teams and client for projectspecifications status issues orinquiries
    • Performing lead duties for assignedclinical study under principle programmersoversight
    • Serving as team player with awillingness to go the extra distance to get results meet deadlinesetc.
    • Being adaptable and flexible whenpriorities change
    • Generating and validatingNonCDISC transformation datasets and analysisdatasets
    • Proficient knowledge with SDTM/ADaMand TLFs. General expertise withFigures
    • Individuals should be able to startprograms from scratch and have the ability to handle complicateddomains and outputs related to the protocol andSAP.
    • They must demonstrate a good understandingof the endpoints and data collection with the ability to read andwrite specifications related to the respective implementationguides.
    • R complex macro writing are aplus

    What youoffer:

    • Bachelors degreein one of the following fields Statistics Computer ScienceMathematics etc.
    • At least 8 years of SASprogramming working with clinical trial data in the PharmaceuticalBiotech industry with a bachelors degree or equivalent. At least 6years of related experience with a masters degree orabove.
    • Study lead experience preferablyjuggling multiple projectssimultaneously.
    • Strong SAS data manipulationanalysis and reporting skills.
    • Strong QC /validation skills.
    • Good adhoc reportingskills.
    • Solid ADaM and complex TFLskills.
    • Proficiency in efficacy analysis andsurvival analysis
    • Familiarity with drugdevelopment life cycle and experience with the manipulationanalysis and reporting of clinical trialsdata.
    • Submissions experience and other submissiondocuments
    • Excellent analytical troubleshootingskills.
    • Ability to provide quality output anddeliverables in adherence with challengingtimelines.
    • Ability to work effectively andsuccessfully in a globally dispersed team environment withcrosscultural partners.

    Please usethe below link for job application and quickerresponse.

    RemoteWork :

    No



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