Fred Hutchinson Cancer Research Center, home of three Nobel laureates, is an independent, nonprofit research institution dedicated to the development and advancement of biomedical research to eliminate cancer and other potentially fatal diseases. Recognized internationally for its pioneering work in bone-marrow transplantation, the Center's five scientific divisions collaborate to form a unique environment for conducting basic and applied science. The Hutchinson Center, in collaboration with its clinical and research partners, the University of Washington and Seattle Children's, is the only National Cancer Institute-designated comprehensive cancer center in the Pacific Northwest. Join us and make a difference!
About the Division:
The mission of the Vaccine and Infectious Diseases Division (VIDD) of the Fred Hutchinson Cancer Research Center is to eliminate or minimize the worldwide impact of globally significant infectious diseases. The Division shares the Center's values of scientific excellence, respect, openness, and innovation in the pursuit of its mission.
About the Department:
Population Sciences in the area of infectious diseases focuses on important questions: Where is the highest concentration of people with infectious disease, such as HIV/AIDS, tuberculosis, malaria, influenza and cholera? What are the risk factors for the population in these parts of the world in developing the disease? How can we work within communities to help change the behavior that presents the most risk? Join VIDD's Population Sciences program faculty and staff by providing integral support of their specialized work in math modeling, epidemiology, and statistics in projects that are related to the spread and control of infectious diseases.
The Statistical Center for HIV/AIDS Research & Prevention (SCHARP) provides statistical collaboration to infectious disease researchers around the world and conducts a complementary program of statistical methodology, and mathematical modeling research. SCHARP also collects, manages, and analyzes data from clinical trials and epidemiological studies dedicated to the elimination of infectious disease as a threat to human health. SCHARP is part of the program of Population Sciences within VIDD.
The Data Analytics Unit of SCHARP provides statistical analyses and statistical programming expertise to four networks:
The Collaboration for AIDS Vaccine Discovery (CAVD) is an international network of scientists and experts dedicated to designing a variety of novel HIV vaccine candidates and advancing the most promising candidates to clinical trials (https://www.cavd.org/Pages/default.aspx ).
The Microbicides Trials Network (MTN) is a collaboration among researchers worldwide who conduct clinical trials using microbial preventions (http://www.mtnstopshiv.org/).
The HIV Vaccine Trials Network (HVTN) is an international collaboration of scientists and experts testing preventive vaccines against HIV/AIDS (http://www.hvtn.org/about/index.html).
The HIV Prevention Trials Network (HPTN) is a worldwide collaborative clinical trials network that develops and tests the safety and efficacy of primarily non-vaccine interventions designed to prevent the transmission of HIV (http://www.hptn.org/index.html).
The Statistical Programmer (STP) provides statistical programming expertise to the Data Analytics Unit (DAU) at SCHARP. The STP uses SAS as the primary coding language, plus R and additional statistical and analytical software programs as needed. In coordination with the statisticians, the STP writes programs to access, analyze, and report data descriptives and analyses. The incumbent will communicate effectively, work collaboratively with colleagues and will be responsive to the needs of both internal and external customers. She/he will contribute to the environment of mutual cooperation and respect.
The STP reports to the Statistical Programming Manager. The STP uses programming knowledge and skills to develop efficient code. The STP creates analysis datasets and assists statisticians in creating derived variables. The STP writes programs that are reusable, computationally efficient, and easily maintainable. The incumbent will work in close collaboration with statisticians and other programming staff within SCHARP.
May include some or all of the following:
Create, document and validate analysis datasets
a. Communicate with statisticians, laboratory scientists, protocol programmers and data management staff to understand and develop requirements and specifications for analysis datasets and analysis programs.
b. Develop programs that utilize and generate CDISC-standard and custom datasets.
Create, document and validate statistical reports
a. Create and maintain analysis programs to generate routine and ad hoc reports in close collaboration with statisticians and project managers.
b. Write programs/macros to produce tables, figures and listings (TFLs) of data and statistics following statistician specifications in support of the following:
- SMB/SMC/DSMB reports
- final study reports
- scientific meeting requests
- support of ancillary studies
- other research projects
Code management and design
a. Develop macros that are coded and documented in ways that facilitate re-use and sharing of code.
b. Contribute to the design and implementation of programming code improvements and standardization (across protocols and study networks), and develop and promulgate best programming practices in collaboration with other programming staff within SCHARP.
c. Coordinate with technology services to create SAS tools and processes to efficiently integrate TFLs into report documents.
d. Create automated processes to update analysis datasets and reports.
Other programming tasks as required
a. Write and/or modify programs to respond to ad hoc requests from statisticians.
b. Create datasets and tables in support of abstract and manuscript requests.
c. Develop and document testing procedures, and work with other Statistical Programmers, Operations Programmers, Laboratory Data Operations programmers and stakeholders to perform testing for statistical programs that produce analysis datasets, reports, and TFLs.
d. Provide programming expertise to statisticians and lab scientists, in conjunction with Laboratory Data Operations staff, for quality control and analysis of assay and lab data.
At least one year of work experience programming with advanced SAS skills, including strong reporting and macro development abilities, plus B.S or M.S. in a computing, mathematical, statistical or a related field. Must be flexible, work well within a team environment, and be capable of meeting tight deadlines. Must be organized and detail-oriented, with excellent oral and written communication skills.
- Knowledge of R (graphics experience) and other programming languages desirable.
- Experience using Perl or other scripting languages for text manipulation and automated job control preferred.
- Prefer experience programming in support of clinical trials, statistical programming in a clinical research setting or other health research programming support.
- Familiarity with laboratory data and data management a plus.
- Preference will be given to a candidate with experience/interest in laboratory assay research and analysis.
We are a VEVRAA Federal Contractor.
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