The Hines Cooperative Studies Program Coordinating Center (CSPCC) has an opportunity in the Chicago area for a full-time statistical programmer to help advance our research activities with the goal of improving the long-term health and well-being of our Veterans. The Cooperative Studies Program (CSP) is a Veterans Health Administration (VHA) Office of Research & Development (ORD) supported national clinical investigation program that is comprised of a network of centers and investigators. The program is responsible for the planning and conduct of large, multi-center trials in the Department of Veterans Affairs (VA).
Researchers within CSP have an opportunity to advance the health and care of Veterans through cooperative research studies that produce innovative and effective solutions to Veteran and national healthcare problems. Through collaborative efforts within VA and with other federal, international, university, and private industry partners, CSP accomplishments have included key research findings across a range of diseases and have helped to provide definitive evidence for clinical practice change.
We are seeking a statistical programmer who wishes to be part of a multi-disciplinary team on various clinical trials to develop reports based on research protocols. Experience in clinical trials or healthcare data is helpful, but not required. The ideal candidate will have experience preparing and performing statistical analysis for clinical trials with SAS.
Principal Duties and Responsibilities
The Statistical Programmer works under the guidance of a clinical trial Biostatistician. The Biostatistician is responsible for planning and overseeing trial activities, including protocol writing and submission, data processing, statistical analysis, report writing, and oversight of clinical trial quality requirements.
The Statistical Programmer is responsible for the following duties:
Implement analyses specified in the protocol or the Statistical Analysis Plan (SAP) while working under the guidance of the study Biostatistician.
Write SAS programs to generate tables, listings, and figures and analysis datasets.
Organize and summarize results using tabular or graphic representation as well as narrative description. Review analytical results for accuracy and completeness. Detect errors in detail and correct them (e.g., reviews tables/listings, edit checks output and SAS programs to ensure quality of deliverable).
Review and provide feedback on deliverables including but not limited to: SAP; table, listing, and figure shells; data management plans; electronic data entry screens; and case report forms; and other related documents.
Perform univariate and multivariate statistical analyses (e.g., multivariate regression analyses using ordinary least squares, logistic, and survival models).
Develop standard macros and/or tools in SAS for data analysis and reporting.
Validate the programmed analysis datasets, tables, listing and figures.
Clearly communicate with the internal study team and supervisors on report/project status and resource issues.
Collaborate with study Biostatistician and investigators to contribute to publications and presentations (e.g., graphs, figures, tables). Proofread and edit drafts of research materials (e.g., statistical reports, manuscripts, presentations) and make recommendations to senior staff regarding their clarity, organization, and layout.
Establish and implement programming standards and comply with regulatory requirements across all studies.
Remain informed of new developments in programming that are relevant to the industry and contribute to the innovation of existing statistical reports.
Undertake assigned tasks in support of research needs, which may include quality measures development, attending study meetings, assisting in administrative or data editing tasks, consulting with other teams, and serving as a consultant on programming topics.
Communication, organization and interpersonal skills are of the utmost importance in daily activities as the incumbent will interact closely with other members of the Statistics and Data Management departments on various clinical projects.
A minimum of a MS in Statistics, Computer Science, Mathematics or a related science discipline preferred. Experience in SAS programming (experience programming for phase I-IV clinical trials preferred). Experience using SAS-Base, MACRO, STAT, GRAPH, MS Office, R, SQL.
Experience manipulating complex datasets using SAS
Experience with importing data, transforming, cleaning, merging, and editing data and extensive quality/accuracy measures
Experience with phase II and phase III multi-site clinical trials preferred
Experience interpreting statistical output and analyses
Experience working with advanced-level statisticians
Experience using ODS and other methods to deliver output in Excel
Telecommuting is allowed.
Additional Salary Information: We are hiring at the GS 11 and GS 12 level dependent on experience and education.
About Department of Veteran's Affairs Cooperative Studies Program
The Cooperative Studies Program (CSP) is a Veterans Health Administration (VHA) Office of Research & Development (ORD) supported national clinical investigation program that is comprised of a network of centers and investigators. The program is responsible for the planning and conduct of large, multi-center trials in the Department of Veterans Affairs (VA).