6 of 6 Remote SAS Jobs in Devon

diverse therapeutic areas will be key to success in this role. What you will be doing: Program and validate SDTMs, ADaMs, and complex efficacy/lab datasets. Proficient in SAS (Base, Macros, Graphs); experience with R or Python is advantageous. Must have hands-on experience with Disclosure tables, especially Basic Results tables. Develop/debug complex macros and program More ❯

diverse therapeutic areas will be key to success in this role. What you will be doing: Program and validate SDTMs, ADaMs, and complex efficacy/lab datasets. Proficient in SAS (Base, Macros, Graphs); experience with R or Python is advantageous. Must have hands-on experience with Disclosure tables, especially Basic Results tables. Develop/debug complex macros and program More ❯

statistical programs for listings, safety, efficacy outputs, and ADaM/TLF specifications. Oversee multi-disciplinary teams, ensuring seamless execution of assigned projects. Design, develop, validate, and execute high-quality SAS programming outputs, including listings, tables, figures, and analysis datasets. Deliver high-quality ADaM programming and specification development for analysis and reporting. Mentor and train junior staff to cultivate the More ❯

statistical programs for listings, safety, efficacy outputs, and ADaM/TLF specifications. Oversee multi-disciplinary teams, ensuring seamless execution of assigned projects. Design, develop, validate, and execute high-quality SAS programming outputs, including listings, tables, figures, and analysis datasets. Deliver high-quality ADaM programming and specification development for analysis and reporting. Mentor and train junior staff to cultivate the More ❯

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

Author and review simple and complex dataset standards • Perform data 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. More ❯