• Lead efforts in resolving day-to-day work-related issues and problems, ensuring quality of deliverables, as well as improving the efficiency and productivity of statistical programming work. • Lead assigned projects by applying project management skills and statistical programming techniques; achieve on-time delivery of deliverables with quality, as well as earn client’s trust and repeat business. • Develop SDTM and ADaM dataset specifications for CSRs, ISS, and ISE following company’s or client’s Standard Operating Procedures (SOPs) and project specific requirements. • Perform quality control (QC) review of these documents prepared by others. • Program and validate SDTM and ADaM datasets following approved dataset specifications for CSRs, ISS, and ISE. • Perform CDISC standard compliant checks on SDTM and ADaM datasets. • Generate, review, and resolve Pinnacle 21 validation issues. • Perform additional QC checks on these deliverables using company Working Instruction (WI) QC checklists. • Perform overall quality/consistency review of statistical TLGs before delivering them to the internal team or the client. • Create SDTM and ADaM define.xml files. • Perform QC review of these files prepared by others. • Participate and/or lead programming teams in support of product regulatory submission related activities. • Learn and maintain expertise in the use of the utilities and macros developed for the Statistical Programmers. • Develop new macros and utilities. • Program and perform QC/validation of complex data integrity checks to ensure data quality and ongoing scientific data surveillance. • Complete job-required and project-specific training. • Comply with applicable Everest and trial Sponsor’s Policies, SOPs, and WIs. • Document data and programming information in accordance with corporate SOPs and guidelines. • Archive clinical trial data (SDTM and ADaM datasets) and programming information in accordance with corporate archival SOPs and guidelines.

• Lead projects with higher level of complexity and resolve complex statistical programming issues • Provide training, mentorship, and technical guidance to less experienced Statistical Programmers or Biostatisticians • Develop SDTM and ADaM dataset specifications and perform QC review of these documents • Program and validate SDTM and ADaM datasets and resolve validation issues • Perform quality review/assessment on regulatory submission programming documents

• Lead efforts in resolving day-to-day work-related issues and problems, ensuring quality of deliverables, as well as improving the efficiency and productivity of statistical programming work. • Lead assigned projects by applying project management skills and statistical programming techniques; achieve on-time delivery of deliverables with quality, as well as earn client’s trust and repeat business. • Develop SDTM and ADaM dataset specifications for CSRs, ISS, and ISE following company’s or client’s Standard Operating Procedures (SOPs) and project specific requirements. • Perform quality control (QC) review of these documents prepared by others. • Program and validate SDTM and ADaM datasets following approved dataset specifications for CSRs, ISS, and ISE. • Perform CDISC standard compliant checks on SDTM and ADaM datasets. • Generate, review, and resolve Pinnacle 21 validation issues. • Perform additional QC checks on these deliverables using company Working Instruction (WI) QC checklists. • Perform overall quality/consistency review of statistical TLGs before delivering them to the internal team or the client. • Create SDTM and ADaM define.xml files. • Perform QC review of these files prepared by others. • Participate and/or lead programming teams in support of product regulatory submission related activities. • Learn and maintain expertise in the use of the utilities and macros developed for the Statistical Programmers. • Develop new macros and utilities. • Program and perform QC/validation of complex data integrity checks to ensure data quality and ongoing scientific data surveillance. • Complete job-required and project-specific training. • Comply with applicable Everest and trial Sponsor’s Policies, SOPs, and WIs. • Document data and programming information in accordance with corporate SOPs and guidelines. • Archive clinical trial data (SDTM and ADaM datasets) and programming information in accordance with corporate archival SOPs and guidelines.

• Develop and review SDTM and ADaM dataset specifications • Program and validate SDTM and ADaM datasets • Develop SAS programs to generate and validate statistical output reports • Document data and programming information • Achieve a high rating for statistical programming key performance indicators • Provide technical guidance and support to less experienced Statistical Programmers