1 to 25 of 26 CDISC Jobs in the North of England

hear about it! Leading the programming activities on trials, through to planning the delivery. Develop and write the production side and or validation side of programs. Shaping our internal CDISC standards and bringing structure to innovation. Collaborating cross-functionally with statisticians, data managers, and operations. Mentoring and uplifting junior programmers. Helping us reimagine processes, develop macros, and improve efficiency. What … t need to tick every box, but here’s our ideal candidate: Solid SAS programmer with experience leading clinical trial work (minimum of 2 years leading). Confident with CDISC SDTM and ADaM implementation. Comfortable working across departments and leading timelines/resources. Background in mathematics, statistics, computing, or equivalent experience. Experience with Phase I/Early Phase clinical trials. More ❯

checks and data exploration (e.g. 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) • Review of project management related More ❯

checks and data exploration (e.g. 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) • Review of project management related More ❯

checks and data exploration (e.g. 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) • Review of project management related More ❯

checks and data exploration (e.g. 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) • Review of project management related More ❯

checks and data exploration (e.g. 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) • Review of project management related More ❯

checks and data exploration (e.g. 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) • Review of project management related More ❯

checks and data exploration (e.g. 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) • Review of project management related More ❯

checks and data exploration (e.g. 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) • Review of project management related More ❯

CRFs, and CSRs Authoring, reviewing, and approving study TFL shells and dataset specifications Authoring, validating, and documenting SAS programs following good programming practices Identifying data issues and outliers Reviewing CDISC Validation reports Resolving data and standards issues or escalating as needed Staying updated on emerging standards and their impact on trials Maintaining SAS proficiency and awareness of developments Managing study More ❯

TFL shells and dataset specifications Authoring, validating, and documenting SAS programs for datasets, TFLs, and macros, following good programming practices Identifying data issues and outliers Completing, reviewing, and approving CDISC Validation reports Resolving data and standards issues or escalating as needed Staying aware of emerging standards and their impact on trials Maintaining proficiency in SAS and staying updated on developments More ❯

TFL shells and dataset specifications Author, validate, and document SAS programs for datasets, TFLs, and macros, applying good programming practices Identify data issues and outliers Complete, review, and approve CDISC Validation tool reports Identify data and standards issues and resolve or escalate as appropriate Maintain awareness of emerging standards and their impact on ongoing and future trials Maintain proficiency in More ❯

shells and dataset specifications. Author, validate, and document SAS programs for datasets, TFLs, and macros, adhering to good programming practices. Identify data issues and outliers. Complete, review, and approve CDISC Validation tool reports. Identify and resolve or escalate data and standards issues as appropriate. Stay aware of emerging standards and their impact on ongoing and future trials. Maintain proficiency in More ❯

TFL shells and dataset specifications Author, validate, and document SAS programs for datasets, TFLs, and macros, applying good programming practices Identify data issues and outliers Complete, review, and approve CDISC Validation tool reports Identify data and standards issues and resolve or escalate as appropriate Maintain awareness of emerging standards and their impact on ongoing and future trials Maintain proficiency in More ❯

TFL shells and dataset specifications. Author, validate, and document SAS programs for datasets, TFLs, and macros, applying good programming practices. Identify data issues and outliers. Complete, review, and approve CDISC Validation tool reports. Identify data and standards issues and resolve or escalate as appropriate. Maintain awareness of emerging standards and their impact on ongoing and future trials. Maintain proficiency in More ❯

TFL shells and dataset specifications • Author, validate and document SAS programs for datasets, TFLs and macros, applying good programming practice • Identify data issues and outliers • Complete, review and approve CDISC Validation tool reports • Identify data and standards issues and resolve or escalate as appropriate • Awareness of emerging standards and associated impact to ongoing and future planned trials • Maintain proficiency in More ❯

TFL shells and dataset specifications Author, validate, and document SAS programs for datasets, TFLs, and macros, applying good programming practices Identify data issues and outliers Complete, review, and approve CDISC Validation tool reports Identify data and standards issues and resolve or escalate as appropriate Maintain proficiency in SAS and awareness of developments Maintain study master file documents and other audit More ❯

review study TFL shells and dataset standards Perform data checks and exploration using tools like frequencies and histograms Program and QC datasets and TFLs in SAS following specifications Review CDISC Validation reports Ensure standards compliance Familiarity with basic statistical techniques Review project management documents Maintain audit-ready study master files General Lead study team meetings and present updates Share knowledge More ❯

TFL shells and dataset standards Perform data checks and exploration using tools like frequencies and histograms Program and QC datasets and TFLs in SAS following specifications Complete and review CDISC Validation reports Ensure standards are adhered to Familiar with basic statistical techniques (t-test, ANOVA, regression, survival analysis) Review project management documents Maintain audit-ready study master files General Lead More ❯

review study TFL shells and dataset standards Conduct data checks and exploration (e.g., frequencies, histograms) Program and QC datasets and TFLs in SAS following specifications and good practices Review CDISC Validation reports Ensure standards compliance Familiar with basic statistical techniques (e.g., t-test, ANOVA, regression, survival analysis) Review project management documents Maintain audit-ready study documents General Lead and present More ❯

TFL shells and dataset specifications Author, validate, and document SAS programs for datasets, TFLs, and macros, applying good programming practice Identify data issues and outliers Complete, review, and approve CDISC Validation tool reports Identify data and standards issues and resolve or escalate as appropriate Maintain proficiency in SAS and awareness of developments Maintain study master file documents and any other More ❯

and review study TFL shells and dataset standards Perform data checks and exploration (e.g., frequencies, histograms) Program and QC datasets and TFLs in SAS following specifications Complete and review CDISC Validation reports Ensure standards are applied and adhered to Familiar with basic statistical techniques (t-test, ANOVA, regression, survival analysis) Review project management documents Maintain audit-ready study documents General More ❯

SAPs, CRFs, CSRs) Author, review, and approve study TFL shells and dataset specifications Develop and validate SAS programs for datasets, TFLs, and macros Identify data issues and outliers Review CDISC Validation reports Resolve data and standards issues Stay updated on emerging standards Maintain SAS proficiency Ensure audit-ready documentation People Management Line management of statisticians and programmers Coach and mentor More ❯

TFL shells and dataset specifications Develop, validate, and document SAS programs for datasets, TFLs, and macros, following good programming practices Identify data issues and outliers Complete, review, and approve CDISC Validation reports Resolve or escalate data and standards issues Stay updated on emerging standards and their impact Maintain SAS proficiency and awareness of developments Keep study master files and audit More ❯

TFL shells and dataset specifications Develop, validate, and document SAS programs for datasets, TFLs, and macros, following good programming practices Identify data issues and outliers Complete, review, and approve CDISC Validation reports Resolve or escalate data and standards issues as appropriate Stay updated on emerging standards and their impact on trials Maintain proficiency in SAS and stay informed about developments More ❯