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!
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.
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 Research Associate (SRA) II will provide statistical support under the direction of the principal investigator and protocol statisticians and will work on a study related to clinical trials as part of a pharmaceutical contract and complex NIH sponsored projects related to chronic disease/HIV. The responsibilities include participating on the protocol study team, assisting statistical methods development, statistical programming, data analysis and reporting.
The incumbent works under limited technical direction to develop analytic data sets, implement statistical simulation and programming, conduct statistical analyses, and document data sets and analytic programs. Exercises judgment with defined practices and policies.
May include some or all of the following:
- Participate in study team conference calls and meetings.
- Review or confirm statistical considerations, such as sample size/power calculations.
- Assist with the development of statistical analysis plan.
- Assist in the development of quality assurance procedures for on-going data collection and analysis, such as establishing edit checks, or endpoint validation.
- Provide statistical analysis, written summaries and tables of results of project data for use in project reports, for example, Data and Safety Monitoring Board meetings and scientific papers, under the direction of other statisticians.
- Document and archive statistical documents.
- Assist in validation of standard reports prepared by reporting programmers.
- Assist in new statistical methods development in NIH-sponsored projects.
- Assist in statistical simulations and software development.
- Perform other responsibilities as required.
Master’s degree in Statistics or Biostatistics and minimum of one year of related experience outside of school coursework. Background in statistical computing and proficiency with the statistical package SAS, as with the development of statistical programs and software. Experience with R is also preferred. Excellent computer skills with the ability to optimize the use of available software.
Demonstrated ability to work on multiple projects simultaneously and within given deadlines. Experience collaborating with others to determine what data is needed, what data exists, and how best to extract the data in a useful format. Strong oral and written communication skills are needed as you will be expected to efficiently communicate and answer questions from our collaborators and the Data and Safety Monitoring board.