Associate Statistical Programmer

Role Overview: As an Associate SAS Programmer at Catalyst Clinical Research, your main responsibility will be to develop SAS programs to produce high quality deliverables within set timelines in accordance with company and regulatory requirements. You will work closely with the team and Statistician to ensure accurate and efficient statistical programming and validation of Analysis Datasets and Tables, Listings, and Graphs (TLGs). Additionally, you will generate customized reports using PROCREPORT techniques and have knowledge of CDISC standards, including hands-on experience in developing SDTM datasets. Your role will also involve understanding study-specific documents like Protocol and SAP, as well as giving presentations. It is essential to have a good understanding of Clinical Trials and various terminologies. Key Responsibilities: - Utilize additional statistical packages like R, or other high-level programming languages as appropriate - Generate customized reports using PROCREPORT techniques - Involve in Statistical programming and validation of Analysis Datasets and Tables, Listings, Graphs (TLGs) - Have knowledge of CDISC standards and hands-on experience in developing SDTM datasets - Work closely with the team and Statistician to prepare adhoc reports for analysis - Possess basic knowledge of SAS macros and ProcSQL - Understand study-specific documents like Protocol, SAP, and give presentations - Adhere to all SOPs within the organization - Develop numerous SAS programs with the help of SAS Statistical Procedures such as ProcMeans, ProcTabulate, ProcFreq, Proc Summary Qualifications: - MSC in Statistics and Effective Communication Skills - 0 - 1 year of experience, or an equivalent combination of education or experience - Good understanding of Clinical Trials and the various terminologies Role Overview: As an Associate SAS Programmer at Catalyst Clinical Research, your main responsibility will be to develop SAS programs to produce high quality deliverables within set timelines in accordance with company and regulatory requirements. You will work closely with the team and Statistician to ensure accurate and efficient statistical programming and validation of Analysis Datasets and Tables, Listings, and Graphs (TLGs). Additionally, you will generate customized reports using PROCREPORT techniques and have knowledge of CDISC standards, including hands-on experience in developing SDTM datasets. Your role will also involve understanding study-specific documents like Protocol and SAP, as well as giving presentations. It is essential to have a good understanding of Clinical Trials and various terminologies. Key Responsibilities: - Utilize additional statistical packages like R, or other high-level programming languages as appropriate - Generate customized reports using PROCREPORT techniques - Involve in Statistical programming and validation of Analysis Datasets and Tables, Listings, Graphs (TLGs) - Have knowledge of CDISC standards and hands-on experience in developing SDTM datasets - Work closely with the team and Statistician to prepare adhoc reports for analysis - Possess basic knowledge of SAS macros and ProcSQL - Understand study-specific documents like Protocol, SAP, and give presentations - Adhere to all SOPs within the organization - Develop numerous SAS programs with the help of SAS Statistical Procedures such as ProcMeans, ProcTabulate, ProcFreq, Proc Summary Qualifications: - MSC in Statistics and Effective Communication Skills - 0 - 1 year of experience, or an equivalent combination of education or experience - Good understanding of Clinical Trials and the various terminologies