51 to 72 of 72 SAS Jobs in the East of England

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 ❯

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 ❯

leading programming efforts and representing Clinical and Statistical Programming in meetings with internal and external clients. As a mentor to other Statistical Programmers, you'll integrate statistical concepts with SAS Programming efficiently and optimally. Accountabilities: Develop and validate technical programming specifications for analysis datasets using Alexion or ADaM standards. Independently develop and validate programs that generate analysis datasets based … safety and efficacy analysis datasets, tables, listings, and figures/graphs. Independently and collaboratively resolve problems Clearly communicate processes and standards with management and team members Expertise in using SAS/Base, SAS/Macro, SAS/STAT. Knowledge of SAS/Graph, and SAS/SQL Desirable Skills/Experience: SDTM and ADaM Relational More ❯

You'll also have the opportunity to mentor fellow programmers and represent Statistical Programming in meetings with internal and external clients. Are you prepared to integrate statistical concepts with SAS Programming efficiently and effectively? Accountabilities: Support development of technical programming specifications for SDTM, ADS, or ADaM standards. Independently develop and/or validate programs that generate SDTM and analysis … and efficacy analysis datasets, tables, listings, and figures/graphs. Independently and collaboratively resolve problems. Clearly communicate processes and standards with management and team members. High competence in using SAS/Base, SAS/Macro, SAS/STAT. Knowledge of SAS/Graph, and SAS/SQL. Knowledge and implementation of: SDTM and ADaM principles. More ❯

technical and non-technical teams Required Skills & Knowledge: Strong understanding of Infrastructure (Azure, On-premises, Cloud) Proficiency in R and Python environments Experience with HPC systems (e.g., Slurm) Basic SAS knowledge Deep understanding of Life Science and Biostatics Desirable: Background in Life Sciences or Clinical Data Broad knowledge of infrastructure solutions If you have the relevant skills and experience More ❯

documents (protocols, SAPs, CRFs, CSRs) Author and 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 Review CDISC Validation reports Ensure standards compliance Familiarity with basic statistical techniques (t-test, ANOVA, regression, survival analysis) Review project management documents Maintain audit-ready study documents More ❯

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 adhered to Familiarity with basic statistical techniques (e.g., t-test, ANOVA, regression, survival analysis) Review project management documents More ❯

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 compliance Familiarise with basic statistical techniques (e.g., t-test, ANOVA, regression, survival analysis) Review project management documents Maintain audit 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 ❯

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 ❯

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 ❯