Employer: Everest Clinical Research Position: Statistical Programmer Terms of Employment: Full-time / Permanent Employment Address: 675 Cochrane Drive, East Tower, 4th Floor, Markham Ontario, L3R 0B8 and remote work permitted from home within the Greater Toronto Area. Language: English Eligible for discretionary bonuses and/or salary increases in accordance with company policy. Eligible for medical, dental, vision, extended health benefits, pension, fitness subsidy, life insurance, as well as paid vacation, sick days, and floater days Salary: $60,000 - $68,500 CAD per annum xml files, tables, charts, reviewers' guides for SDTM and ADaM datasets) for integration in reports based on Everest company standard operating procedures (SOPs) and Working Instructions (WIs), which are compliant to the pharmaceutical clinical research industry standards, conventions, and regulatory requirements and meet clinical trial Sponsor-specific requirements. Process SDTM and ADaM datasets following authorized dataset specifications, these may include datasets for Clinical Study Reports (CSRs), clinical trial efficacy and safety data integrations (ISS and ISE), as well as other data analysis and reporting needs such as ad hoc and exploratory data analyses. Process and validate data and statistical output reports of trial data based on statistical analysis plans and statistical TLGs mock-up shells through developing SAS programming codes. Conduct basic analysis of trends in clinical trial data through developing SAS programming codes for database logical checks and reports for ongoing data review. Collect and consolidate data and programming information from various sources in accordance with Everest company SOPs and WIs to prepare reports to achieve audit readiness during and at the end of the clinical trials for internal and external quality and compliance audits. Achieve a high rating for each of the defined Everest company and trial Sponsor-specific statistical programming Key Performance Indicators (KPIs). Collect, track and archive clinical trial data (SDTM and ADaM datasets) and programming information in accordance with Everest company archival SOPs and Working Instructions. Maintain current knowledge of pharmaceutical clinical research industry standards, conventions, and regulatory requirements, as well as the knowledge of clinical trial Sponsor-specific requirements when applicable. Comply to Everest company-specific and clinical trial Sponsor-specific training requirements. May lead statistical research efforts for assigned projects. May participate in the development and maintenance of clinical trial data and statistical reporting standards to ensure that the company standards are up to date and in line with pharmaceutical industry standards, conventions, and regulatory requirements. Provide technical guidance and support to less experienced Statistical Programmers in the study teams. May make decisions on time allocation to complete assigned projects. May make decisions related to setting project priorities, resource availability, negotiation of project timelines, on therapeutic area and client-specific programming standards/conventions/procedures, and on client-specific programming. Master's degree in statistics, biostatistics, epidemiology, bioinformatics, mathematic, or computer sciences ~1-3 years of experience in clinical trial statistical programming and/or data analysis ~ Demonstrated strong capabilities and/or sustained high level of performance as a Statistical Programmer ~ Microsoft Word, Excel, PowerPoint, Outlook, Project. ~ Experience with statistical software is preferred ~ Must be action oriented, have composure, be creative, be customer focused, have functional and technical skills, able to learn on the fly, able to persevere, excellent planning, organizational, time management and problem solving skills, able to prioritize, and able to pick up on new technical skills quickly. We welcome and encourage applications from people with disabilities, and upon request we will provide accommodations for candidates participating in any part of our recruitment and selection process.