Data Analyst - SAS
Job Description - provide SAS programming activities for the monitoring, reporting, and analysis of clinical trials and will deliver against the overall protocol timelines and quality goals within the study teams. - Collaborate with project biostatistician in the creation, implementation, and maintenance of execution plan accounting for timeline, resource and quality of the projects - Ensures that all statistical programs comply with the programming coding standards and utilize available standard reporting systems, as well as macro utility programs. - Support statistical programming applications that are used to generate clinical study reports. - Support ADS and TLG generation, and assist with the development of work flow and SOPs for Biostatistics and Statistical Programming operations. - Accountable for the provision of standard and non-standard data sets, tables, listings and figures based on the final synopsis and SAP that are required for the study reports, submissions and product defense. - Communicates effectively not only within the teams and functional lines but also with the external resources - Provides filing, approval and regulatory programming support for all aspects of a submission Education and Qualifications - Related training/education/experience in Computer Science or other relevant education - The work experience should include at least two years in a statistical programming environment - Knowledge and application of p-values, confidence intervals, linear regression analysis, advanced general linear models, frequencies, survival analysis, non-parametric analysis, randomization software, proficiency in implementing these ideas in clear, efficient SAS code for the purposes of data analysis and reporting. - Accountable for overall timelines and major project milestones, as well as overall project quality, integrity and productivity - Knowledge of base SAS, SAS macro language, graph, FSP, STATS, SQL as well as other programming languages. - Knowledge of UNIX system, Oracle Clinical and EDC (electronic data capture) exposure preferred - Knowledge of clinical systems, medical terminology, clinical trail methodologies, and software systems development. - Excellent analytical, problem solving, and computer skills. - Flexible, well organized, excellent verbal and written communication skills, and interpersonal skills. - Able to give effective presentations to small groups such as Implementation Teams or Statistical Programming meetings
Title: Data Analyst - SAS
Salary: None
Description: Job Description - provide SAS programming activities for the monitoring, reporting, and analysis of clinical trials and will deliver against the overall protocol timelines and quality goals within the study teams. - Collaborate with project biostatistician in the creation, implementation, and maintenance of execution plan accounting for timeline, resource and quality of the projects - Ensures that all statistical programs comply with the programming coding standards and utilize available standard reporting systems, as well as macro utility programs. - Support statistical programming applications that are used to generate clinical study reports. - Support ADS and TLG generation, and assist with the development of work flow and SOPs for Biostatistics and Statistical Programming operations. - Accountable for the provision of standard and non-standard data sets, tables, listings and figures based on the final synopsis and SAP that are required for the study reports, submissions and product defense. - Communicates effectively not only within the teams and functional lines but also with the external resources - Provides filing, approval and regulatory programming support for all aspects of a submission Education and Qualifications - Related training/education/experience in Computer Science or other relevant education - The work experience should include at least two years in a statistical programming environment - Knowledge and application of p-values, confidence intervals, linear regression analysis, advanced general linear models, frequencies, survival analysis, non-parametric analysis, randomization software, proficiency in implementing these ideas in clear, efficient SAS code for the purposes of data analysis and reporting. - Accountable for overall timelines and major project milestones, as well as overall project quality, integrity and productivity - Knowledge of base SAS, SAS macro language, graph, FSP, STATS, SQL as well as other programming languages. - Knowledge of UNIX system, Oracle Clinical and EDC (electronic data capture) exposure preferred - Knowledge of clinical systems, medical terminology, clinical trail methodologies, and software systems development. - Excellent analytical, problem solving, and computer skills. - Flexible, well organized, excellent verbal and written communication skills, and interpersonal skills. - Able to give effective presentations to small groups such as Implementation Teams or Statistical Programming meetings
Requirements: None experience, None education
Fraudulent: No