10 of 10 CDISC Jobs in Reading

listings) when not provided by CRO. Leads and oversees the design and implementation of complex SAS programs for applications designed to analyze and report complex clinical trial data in CDISC ADaM format. Leads and oversees the development of global tools that will increase the efficiency and capacity of the Statistical Programming group. Works closely with clinical study teams to plans … e.g. GCP, ICH). • Extensive experience with statistical programming using the SAS software including development and use of SAS Macros. Strong programming and problem-solving skills. • Advanced knowledge in CDISC standards (CDASH, SDTM, ADaM). • Proven experience in leading programming activities for pooled and exploratory analyses across multiple clinical studies and submission activities (or equivalent). • Proven ability to work 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 ❯

with a wide range of clients to lead Phase II & III studies, program statistical analyses/reports, analyze datasets, tables, figures (or graphs), listings (TFLs), with an emphasis on CDISC ADaM programming. Our team works remotely across multiple countries which provides the flexibility to adjust your schedule as needed. With much collaboration across regions, we still have that small company … experience successfully performing the role of Statistical Programmer, in the clinical research industry Experience leading Phase II and/or Phase III studies Experience creating and validating analysis datasets (CDISC ADaM standard preferred), and Tables, Listings, and Figures (TLF) Strong SAS programming experience Pinnacle 21 experience is strongly preferred Professional leadership skills coupled with exceptional communication skills Bachelor's degree More ❯

data exploration and visualization. Application of statistical methodology and concepts in clinical trial analysis, including experience with R-Shiny apps for data exploration. Advanced knowledge of industry standards including CDISC data structures and a solid understanding of the development and use of standard programs. In-depth understanding of the phases of clinical trials and the drug development process. #J More ❯

for data exploration and visualization. Application of statistical methodology and concepts in clinical trial analysis. Experience with R-Shiny apps for data exploration. Advanced knowledge of industry standards including CDISC data structures as well as a solid understanding of the development and use of standard programs. In-depth understanding of the phases of clinical trials and the drug development process. More ❯

clinical trial results into value dossier and regulatory submission packages Lead development of statistical programs using SAS for regulatory and non-regulatory submissions (pre-defined and post-hoc) Implement CDISC standards as required for project deliverables Conduct QC programming for descriptive and complex studies in RWD Contribute to writing study reports and use of visualization tools for reporting and data More ❯

clinical trial results into value dossier and regulatory submission packages Lead development of statistical programs using SAS for regulatory and non-regulatory submissions (pre-defined and post-hoc) Implement CDISC standards as required for project deliverables Conduct QC programming for descriptive and complex studies in RWD Contribute to writing study reports and use of visualization tools for reporting and data More ❯

clinical trial results into value dossier and regulatory submission packages Lead development of statistical programs using SAS for regulatory and non-regulatory submissions (pre-defined and post-hoc) Implement CDISC standards as required for project deliverables Conduct QC programming for descriptive and complex studies in RWD Contribute to writing study reports and use of visualization tools for reporting and data More ❯

and overall quality in a client-facing capacity (project leadership track only) Advanced/expert-level of project leadership/technical track, respectively, working knowledge of data structures (e.g., CDISC SDTM, ADaM), software development lifecycle and their implementation Strong working knowledge of the types of risks associated with a study and the impact on key parameters, such as study timelines More ❯

for data exploration and visualization. Application of statistical methodology and concepts in clinical trial analysis. Experience with R-Shiny apps for data exploration. Advanced knowledge of industry standards including CDISC data structures as well as a solid understanding of the development and use of standard programs. In-depth understanding of the phases of clinical trials and the drug development process. More ❯