13 of 13 CDISC Jobs in the UK excluding London

and/or Phase III studies. Experience leading oncology studies and knowledge of RECIST is strongly preferred. Experience with creating and validating analysis datasets (CDISC ADaM standard), and Tables, Listings, and Figures. Pinnacle 21 experience is strongly preferred. Expert knowledge of SAS. Professional leadership skills coupled with exceptional communication skills. More ❯

of statistics, programming, and clinical drug development processes. Proficiency in Base SAS, SAS Graph, and SAS Macro. Knowledge of relevant Data Standards such as CDISC, ADaM, SDTM. Join IQVIA to see where your skills can take you: Global exposure Variety of therapeutic areas Collaborative and supportive team environment Access to More ❯

using frequencies, histograms) • Program and QC routine and ad hoc datasets and TFLs (in SAS) following specifications, applying good programming practice • Complete and review CDISC Validation tool reports • Ensure the appropriate standards are being applied and adhered to • Familiarisation with simple statistical techniques (e.g. t-test, ANOVA, regression, standard survival More ❯

using frequencies, histograms) • Program and QC routine and ad hoc datasets and TFLs (in SAS) following specifications, applying good programming practice • Complete and review CDISC Validation tool reports • Ensure the appropriate standards are being applied and adhered to • Familiarisation with simple statistical techniques (e.g. t-test, ANOVA, regression, standard survival More ❯

using frequencies, histograms) • Program and QC routine and ad hoc datasets and TFLs (in SAS) following specifications, applying good programming practice • Complete and review CDISC Validation tool reports • Ensure the appropriate standards are being applied and adhered to • Familiarisation with simple statistical techniques (e.g. t-test, ANOVA, regression, standard survival More ❯

using frequencies, histograms) • Program and QC routine and ad hoc datasets and TFLs (in SAS) following specifications, applying good programming practice • Complete and review CDISC Validation tool reports • Ensure the appropriate standards are being applied and adhered to • Familiarisation with simple statistical techniques (e.g. t-test, ANOVA, regression, standard survival More ❯

using frequencies, histograms) • Program and QC routine and ad hoc datasets and TFLs (in SAS) following specifications, applying good programming practice • Complete and review CDISC Validation tool reports • Ensure the appropriate standards are being applied and adhered to • Familiarisation with simple statistical techniques (e.g. t-test, ANOVA, regression, standard survival More ❯

using frequencies, histograms) • Program and QC routine and ad hoc datasets and TFLs (in SAS) following specifications, applying good programming practice • Complete and review CDISC Validation tool reports • Ensure the appropriate standards are being applied and adhered to • Familiarisation with simple statistical techniques (e.g. t-test, ANOVA, regression, standard survival More ❯

using frequencies, histograms) • Program and QC routine and ad hoc datasets and TFLs (in SAS) following specifications, applying good programming practice • Complete and review CDISC Validation tool reports • Ensure the appropriate standards are being applied and adhered to • Familiarisation with simple statistical techniques (e.g. t-test, ANOVA, regression, standard survival More ❯

using frequencies, histograms) • Program and QC routine and ad hoc datasets and TFLs (in SAS) following specifications, applying good programming practice • Complete and review CDISC Validation tool reports • Ensure the appropriate standards are being applied and adhered to • Familiarisation with simple statistical techniques (e.g. t-test, ANOVA, regression, standard survival More ❯

using frequencies, histograms) • Program and QC routine and ad hoc datasets and TFLs (in SAS) following specifications, applying good programming practice • Complete and review CDISC Validation tool reports • Ensure the appropriate standards are being applied and adhered to • Familiarisation with simple statistical techniques (e.g. t-test, ANOVA, regression, standard survival More ❯

facing capacity (project leadership track only). Advanced/expert-level of project leadership/technical track, respectively, working knowledge of data structures (e.g., CDISC SDTM, ADaM), software development lifecycle and their implementation. Strong working knowledge of the types of risks associated with a study and the impact on key More ❯

of moderate to high complexity. Responsibilities include data model specifications, data stream integrations, transformation of source to internal data models, and/or creating CDISC submission-ready SDTM tabulation packages (such as aCRF, define.xml, cSDRG). The programmer creates and executes edit check programs, listings, and report solutions to monitor More ❯