126 to 149 of 149 SAS Jobs in the North of England

including protocols, SAPs, CRFs, CSRs Author 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 More ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

CRFs, CSRs. Author and 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 and good practices. Review CDISC Validation reports and ensure standards compliance. Familiarity with basic statistical techniques such as t-test, ANOVA, regression, and survival analysis. Review project 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

Technical Leads. Who Are You The ideal candidate is someone who, Has 3+ years of experience in Agency Project Manager Has a good knowledge of Shopify and various other SAS platforms. Can work as part of a team, and is friendly and approachable Has excellent communication and customer service skills Is ambitious and looking for a challenge Has a More ❯

Helping us reimagine processes, develop macros, and improve efficiency. What We Are Looking For : You don’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. More ❯

current business needs. Technical Perform review of clinical trial documents including protocols, SAPs, CRFs, CSRs Author, review, and approve study 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-ready documents People Management Line management of statisticians, programmers, and other technical staff, accountable for overall performance Provide coaching, mentoring, and career development for staff Interview, onboard, and integrate new staff members Provide programming technical leadership and coaching More ❯

current business needs. Technical Perform review of clinical trial documents including protocols, SAPs, CRFs, CSRs Author, review, and approve study 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 SAS and stay updated on developments Maintain study master file documents and other audit-ready documents People Management Line management of statisticians, programmers, and other technical staff, responsible for overall performance Provide coaching, mentoring, and career development for More ❯

current business needs. Technical Perform review of clinical trial documents including protocols, SAPs, CRFs, CSRs. Author, review, and approve study 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 SAS and stay updated on developments. Maintain study master file documents and other documents required to be audit-ready. People Management Line management of statisticians, programmers, and other technical staff, responsible for overall performance. Provide coaching and mentoring More ❯

Recruitment Consultant, America £50,000 to £80,000 basic salary (or $75,000 to $110,000) Evolution Raleigh (North Carolina) is hiring, and we need you! We are looking for Tech Recruiters who are considering swapping the UK for the More ❯