22 of 22 Remote CDISC Jobs

Statistical Programming experience within the Life-Science industry Experience in SAS Base, and good knowledge of SAS graph and SAS Macros Excellent knowledge of CDISC standards (SDTM and ADaM) Excellent application development skills Strong understanding of clinical trial data and extremely hands-on in data manipulations, analysis and reporting of More ❯

Statistical Programming experience within the Life-Science industry Experience in SAS Base, and good knowledge of SAS graph and SAS Macros Excellent knowledge of CDISC standards (SDTM and ADaM) Excellent application development skills Strong understanding of clinical trial data and extremely hands on in data manipulations, analysis and reporting of 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 ❯

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 ❯

Urgent: Senior Backend Software Engineer (C# .NET Core) - Transform Healthcare! Ready to make a monumental impact in healthcare? We're searching for a Senior/Lead Backend Software Engineer to join our innovative team, reporting directly to the Vice President 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 ❯

lead statistical programming projects, ensuring high-quality, on-time deliverables. This includes developing and validating SDTM and ADaM datasets, performing QC reviews, and ensuring CDISC compliance. You’ll resolve Pinnacle 21 validation issues, review TLFs for consistency, and contribute to regulatory submissions. You'll also create define.xml files, develop and … least 6 years’ experience in clinical trial statistical programming. Excellent knowledge of SAS essential with R advantageous. Good working knowledge of data structures e.g. CDISC, SDTM, ADaM, Comprehension of clinical data standards (CDISC), TLFs, and submission guidelines. What in it for you: The opportunity to be involved in a growing More ❯