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5 of 5 SAS Jobs in Staffordshire
Stoke-on-Trent, England, United Kingdom JR United Kingdom
Social network you want to login/join with: Specialist, Computational Pharmaceutics, stoke-on-trent col-narrow-left Client: Spherical Search Location: stoke-on-trent, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views More ❯
Stoke-on-Trent, England, United Kingdom Hybrid / WFH Options JR United Kingdom
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 ❯
Stoke-on-Trent, England, United Kingdom Hybrid / WFH Options JR United Kingdom
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 ❯
Stoke-on-Trent, England, United Kingdom Hybrid / WFH Options JR United Kingdom
will need: A Bachelor’s degree in Statistics, Biostatistics or Computer Sciences + Masters or PH.D in Statistics. 8 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 More ❯
Stoke-on-Trent, England, United Kingdom Hybrid / WFH Options JR United Kingdom
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 ❯
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