- Nova sas statistical software full#
- Nova sas statistical software software#
- Nova sas statistical software trial#
- Nova sas statistical software series#
Ability to interpret project level requirements and develop programming specifications, as appropriate, for complex studies. Perform, plan co-ordinate and implement the following for complex studies: (i) the programming, testing, and documentation of statistical programs for use in creating statistical tables, figures, and listing and (ii) the programming of analysis datasets (derived datasets) and transfer files? for internal and external clients and (iii) the programming? quality control checks for the source data and report the data issues periodically. Ability to establish and maintain effective working relationships with co-workers, managers and clients. Recognizes when negotiating skills are needed and seeks assistance. Ability to lead teams and projects and capable of managing at a group level. Exhibits routine and occasionally complex problem-solving skills. Ability to delegate work to other members of the SP team. Excellent accuracy and attention to detail. Ability to independently?manage multiple tasks and projects. Good organizational, interpersonal, leadership and communication skills. Must have expertise in SAS/BASE, SAS/MACRO, SAS/STAT, SAS/GRAPH, SAS/ACCESS, SAS/ODS, SAS/SQL. Should have experience with SDTM Implementation and ADaM implementation according to CDISC Standards. 
Base SAS, SAS/STAT, SAS Graph and SAS Macro Language. Knowledge of statistics, programming and/or clinical drug development process. In-depth knowledge of applicable clinical research regulatory requirements, i.e., Good Clinical Practice (GCP) and International Conference on Harmonization (ICH) guidelines. Experience as technical team lead directly engaging clients and coordinating tasks within a programming team. Ability to work on multiple projects, plan, organize and prioritize activities. Good verbal and written communication skills. Minimum of 4+ years of experience in Statistical Programming in pharmaceutical or medical devices industry. Good understanding of ICH E6, ICH E3, ICH E8, ICH E9 and clinical research processes. Nova sas statistical software trial#
Strong understanding of clinical trial data and extremely hands on in data manipulations, analysis and reporting of analysis results. Excellent application development skills. Thorough understanding of relational database components and theory. Must have excellent knowledge of CDISC standards (SDTM and ADaM). Capable of implementing more advanced statistical procedures as per specifications provided by biostatistician. 
Must have expertise of R programming as well as SAS® Base, and good knowledge of SAS® graph and SAS® Macros. Therapeutic Areas: Oncology // Immunology // IDV // EDCP. Provide internal consulting services, including specifications and user needs analysis for complex project or client requirements. Provide technical expertise and leadership to the department. Nova sas statistical software full#
Plan and coordinate the development of integrated programming solutions serving the full spectrum of statistical programming needs. Graduate Record Examination (GRE) Aptitude and Advanced Mathematics scores are recommended for all applicants for graduate studies whose undergraduate work has been completed outside of Canada.Experienced R programmers needed to provide technical expertise to develop process methodology for department to meet internal and external clients' needs. Admission RequirementsĬandidates must satisfy the general requirements for admission to the Faculty of Graduate Studies. Graduate student offices are all equipped with computers.
Nova sas statistical software software#
Standard statistical and mathematical software such as Splus, SAS, BMDP, Minitab, NAG, IMSL, Matlab and Maple are available, as well as special-purpose applications software in a variety of areas. The department operates a network of Sun servers, workstations, a Unix cluster, and PCs.
Nova sas statistical software series#
The department offers programs leading to the degrees of MSc and PhD in the following areas: statistical inference, robust statistics, data mining, bioinformatics, data analysis, multivariate analysis, linear and nonlinear regression, time series analysis, statistical genetics, environmental statistics, and information theory.
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