Research Support - Laboratory/Non-Laboratory, Staff/Administrative
Advertised Employing Department: Center for Statistic Survey and Methodology
Summary of Duties and Responsibilities:
The Center for Survey Statistics and Methodology (CSSM) in the College of Liberal Arts and Sciences at Iowa State University is seeking an Associate Scientist for its cooperative work with the National Resources Inventory (NRI). The NRI is a large, national survey effort requiring collaboration of staff from the Natural Resource and Conservation Service (NRCS), staff from CSSM, and Dept. of Statistics faculty and students. Personnel involved in the NRI include 22 CSSM staff members, five Statistics faculty, several graduate student RAs, and multiple NRCS collaborators (two co-located and approximately ten distributed across the United States). The NRI survey consists of an annual photo-interpretive survey, an NRI onsite grazing lands survey co-sponsored by the Bureau of Land Management, and an onsite NRI cropland survey co-sponsored by the National Agricultural Statistics Service. Each of these surveys requires multiple stages of implementation (planning/preparation, data collection, statistical processing/estimation).
The Associate Scientist will provide technical expertise during planning, preparation, data collection, statistical processing, and analysis processes of surveys. Special emphasis is placed on collaboratively developing technically sound and relevant survey objectives; identifying and testing measurement and data collection protocols, including developing instructions, training, and quality assessment procedures; and analyzing survey data for quality assessment and biological interpretations. The position serves as secondary liaison between CSSM and NRCS staff, both at ISU (3 NRCS staff co-located at ISU) and around the country (principally Portland, OR; Greensboro, NC; Ft. Worth, TX; and Beltsville, MD)
In addition, the Associate Scientist will work closely with CSSMNRI survey methods and statistical processing managers, on-site USDA collaborators, and CSSM faculty to manage staff and operational activities for multiple concurrent surveys and serve as a technical expert in several subject-matter areas for the NRI survey; principally area data protocol development and ecological features.
Required Education and Experience:
Master’s degree and 5 years of related experience; OR a Ph.D. or other professional degree and 2 years of related experience.
Preferred Education and Experience:
A PhD in statistics, biostatistics or related statistical field, or in the natural sciences or related field.
Substantial complementary demonstrated knowledge and experience in the natural sciences or in statistical applications, respectively (e.g. PhD in Statistics with lesser degree or work experience in the ecological sciences, PhD in Ecology with experience in designing and analyzing data from research projects).
Iowa State University is classified as a Carnegie Foundation Doctoral/Research University-Extensive, a member of the Association of American Universities (AAU), and ranked by U.S. News and World Report as one of the top public universities in the nation. Over 36,000 students are enrolled and served by over 6,200 faculty and staff (see www.iastate.edu). Ames, Iowa is a progressive community of 60,000, located approximately 30 minutes north of Des Moines, and recently voted the best college town in the nation (see www.visitames.com).
Iowa State University is an equal opportunity employer committed to excellence through diversity and strongly encourages applications from all qualified applicants, including women, underrepresented minorities, and veterans. ISU is responsive to the needs of dual career couples, is dedicated to work-life balance through an array of policies, and is an NSF ADVANCE institution.
Iowa State University is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or protected Veteran status and will not be discriminated against.