Cures Start Here. At **MEMBERS ONLY**SIGN UP NOW***., home to three Nobel laureates, interdisciplinary teams of world-renowned scientists seek new and innovative ways to prevent, diagnose and treat cancer, HIV/AIDS and other life-threatening diseases. Fred Hutch's pioneering work in bone marrow transplantation led to the development of immunotherapy, which harnesses the power of the immune system to treat cancer. An independent, nonprofit research institute based in Seattle, Fred Hutch houses the nation's first and largest cancer prevention research program, as well as the clinical coordinating center of the Women's Health Initiative and the international headquarters of the HIV Vaccine Trials Network. Careers Start Here.
The Statistical Center for HIV/AIDS Research & Prevention (SCHARP) at the **MEMBERS ONLY**SIGN UP NOW***. in Seattle, WA is seeking a highly motivated and effective Manager to lead the Statistical Programming Team.
The Statistical Programming (STP) Manager is responsible for the direct supervision of statistical programmers and statistical programming supervisors, including providing training and development, annual evaluations and addressing performance concerns. The STP Manager coordinates work assignments and adjusts workloads, considering individual capabilities and areas of expertise to meet study requirements and deliverables. She/he works independently, performing both routine and one-off programming tasks, using her/his experience and judgment to guide programmers in meeting study goals and deadlines.
In support of SCHARP projects, study protocols and research network requirements, the STP Manager may perform one or more of the following tasks:
Participate in annual budgeting and reporting processes.
Review programming requests and distribute/delegate to appropriate staff members. Review programming priorities with staff members. Review conflicting priorities with the DAU leader as appropriate.
Standardize work practices across studies where practical and participate in standardization efforts that impact more than one functional group.
Design and document quality assurance procedures, validation efforts, standard operating procedures (SOPs), and work instructions (WIs). Follow SCHARP software development lifecycle (SDLC) practices and processes. Support the maintenance of existing SOPs and WIs.
Provide training and mentoring for new staff. Share expertise and knowledge to inform current and future work.
Conduct regular team meetings to communicate decisions and identify and address issues that may impact the team.
Represent Statistical Programmers in SCHARP management meetings, committee work, working groups and special projects.
Coordinate with the other programming groups to identify and address common issues.
Perform study-specific and cross-study reporting. Support automation of statistical programming tasks.
Develop Infrastructure projects in support of increasing automation, standardization and validation of procedures and programs.
Bachelor's degree in Computer Science or a scientific, technical, or health-related field
At least eight years of experience as a Statistical Programmer; prefer at least two years of previous supervisory experience in a technical work environment
Demonstrated leadership capabilities
Demonstrated ability to communicate effectively in a matrix management environment as a member of several project teams
Demonstrated ability to multi-task and appropriately prioritize work assignments
Demonstrated ability to communicate programming issues with non-technical staff
Experience with SAS statistical software is essential, preferably on a Unix platform
Advanced SAS and strong SAS Macro and reporting experience
Proficient use of database management and programming software
Graduate degree in Computer Science or a scientific, technical, or health-related field
Formal management/supervision coursework
Experience with estimating and preparing project budgets
Knowledge of and experience in programming for scientific research
Previous clinical trials and analysis experience
Experience in programming, system, and/or database documentation and validation
Experience with SQL and relational databases
Knowledge of CDISC standardization practices
Knowledge of laboratory data
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