At Memorial Sloan Kettering (MSK), we're not only changing the way we treat cancer, but also the way the world thinks about it. By working together and pushing forward with innovation and discovery, we're driving excellence and improving outcomes.
For the 28th year, MSK has been named a top hospital for cancer by U.S. News & World Report. We are proud to be on Becker's Healthcare list as one of the 150 Great Places to Work in Healthcare in 2018, as well as one of Glassdoor's Employees' Choice Best Place to Work for 2018. We're treating cancer, one patient at a time. Join us and make a difference every day.The Prostate Cancer Clinical Trials Consortium (PCCTC) was initiated in 2005 by the Prostate Cancer Foundation (PCF) and the U.S. Department of Defense (DOD) Prostate Cancer Research Program (PCRP) in response to critically unmet needs in prostate cancer clinical research identified by physician investigators and patient advocates. Incubated within Memorial Sloan Kettering (MSK) and in 2014 established as an independent entity - the PCCTC, LLC - it is now the nation's premier multicenter Clinical Research Organization (CRO) specializing in cutting-edge prostate cancer research. The PCCTC works together with distinguished investigators on a single mission: to design, implement and complete hypothesis-driven early phase trials in prostate cancer, translating scientific discoveries to improved standards of care. To fulfill its mission, the PCCTC developed a unique infrastructure, which has fostered a culture of transparent project co-development between investigators, research sites and industry partners.Job Description
The Prostate Cancer Clinical Trials Consortium (PCCTC) is hiring a SAS Programmer
to develop and validate SAS programs to perform data presentation and analysis and report to Director of Clinical Data Management and Informatics.You are:
- An individual with strong analytical aptitude, statistical and programming skills
- An ambitious self-starter who strives for results and performs well under pressure
- Driven to continually learn new programming techniques and methods
- Eager to solve complex problems with elegant software solutions
- Review clinical database specifications and CRF annotations
- Provide mapping specifications for clinical data to CDISC SDTM/ADaM
- Review and implement analyses as specified in oncology protocols and statistical analysis plans and relevant documents.
- Provide feedback on programming feasibility and efficiency
- Develop and validate SAS programs to generate electronic submission deliverables such as SDTM/ADaM datasets and analyses files, define.xml, data reviewers guide, and tables, listings, and figures (TLFs) for clinical study reports (CSRs) and per other ad hoc requests
- Program SAS edit checks per data validation plan
- Work independently to accomplish tasks and goals defined by supervisor and bring in new ideas to improve and streamline programming process
- Bachelor's degree in Statistics, Computer Science, Mathematics, or a related science discipline. Masters preferred.
- 4+ years of experience in clinical trials in a pharmaceutical/CRO environment. FDA submission experience preferred.
- Advanced SAS skills and experience using SAS-Base, MACRO, STAT, GRAPH, ACCESS, MS Office.
- Experience in CDISC data standards, e.g. SDTM and ADaM
- Understanding of the software development life cycle (SDLC).
- Understanding of FDA and ICH guidelines.
- Excellent analytical and troubleshooting skills.
- Excellent verbal and written communication skills.
- Ability to work independently on multiple projects simultaneously and adjust to changing priorities.
- Attention to detail and good organizational skills
MSK is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status or any other factor which cannot lawfully be used as a basis for an employment decision.
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