Katalyst CRO
Join to apply for the
Principal Statistical Programmer
role at
Katalyst CRO . Responsibilities include: Performing data manipulation, analysis, and reporting of clinical trial data for safety and efficacy (ISS/Client) using SAS programming. Generating and validating SDTM and ADaM datasets, analysis files, and tables, listings, and figures (TLFs). Production and QC/validation programming. Programming from scratch and handling complex domains and TLFs, with the ability to interpret protocol and SAP. Understanding endpoints and data collection. Generating complex ad-hoc reports from raw data. Applying expertise in efficacy analysis. Creating and reviewing submission documents and eCRTs. Communicating with cross-functional teams and clients regarding project details and issues. Requirements include: Bachelor's degree in Statistics, Computer Science, Mathematics, or related field. Minimum 8 years of SAS programming experience with clinical trial data in the pharmaceutical/biotech industry; 6 years with a master's degree or higher. Study lead experience and ability to manage multiple projects preferred. Strong experience with CDISC SDTM/ADaM standards. Knowledge of drug development lifecycle and clinical data reporting. Experience with submissions, define.xml, and related documents. Experience with Rare Diseases and Gastrointestinal studies is a plus. Excellent analytical and troubleshooting skills. Ability to deliver quality work within tight deadlines. Effective in a global, cross-cultural team environment. Senior level: Mid-Senior; Employment type: Contract; Industry: Pharmaceutical Manufacturing. Referrals can double your chances of interview success. This job is actively posted; apply now to be considered. #J-18808-Ljbffr
Principal Statistical Programmer
role at
Katalyst CRO . Responsibilities include: Performing data manipulation, analysis, and reporting of clinical trial data for safety and efficacy (ISS/Client) using SAS programming. Generating and validating SDTM and ADaM datasets, analysis files, and tables, listings, and figures (TLFs). Production and QC/validation programming. Programming from scratch and handling complex domains and TLFs, with the ability to interpret protocol and SAP. Understanding endpoints and data collection. Generating complex ad-hoc reports from raw data. Applying expertise in efficacy analysis. Creating and reviewing submission documents and eCRTs. Communicating with cross-functional teams and clients regarding project details and issues. Requirements include: Bachelor's degree in Statistics, Computer Science, Mathematics, or related field. Minimum 8 years of SAS programming experience with clinical trial data in the pharmaceutical/biotech industry; 6 years with a master's degree or higher. Study lead experience and ability to manage multiple projects preferred. Strong experience with CDISC SDTM/ADaM standards. Knowledge of drug development lifecycle and clinical data reporting. Experience with submissions, define.xml, and related documents. Experience with Rare Diseases and Gastrointestinal studies is a plus. Excellent analytical and troubleshooting skills. Ability to deliver quality work within tight deadlines. Effective in a global, cross-cultural team environment. Senior level: Mid-Senior; Employment type: Contract; Industry: Pharmaceutical Manufacturing. Referrals can double your chances of interview success. This job is actively posted; apply now to be considered. #J-18808-Ljbffr