Division/College: College of Agricultural & Life Sciences
Employee Category: Exempt
Pay Range: $76,752 annually or higher depending on experience
Full/Part Time: Full Time
Position Summary: Position provides consulting, computer programming and research support in statistics for the College of Agricultural and Life Sciences, under the Idaho Agricultural Experiment Station Statistical Programs Unit. Employee carries out statistical data analysis and develops graphics for publications, presentations and computing workshops. Conducts independent and collaborative research on statistical problems related to agriculture.
Masters Degree in statistics, data science, agronomy, crop science, soil science, animal & veterinarian sciences, family and consumer sciences, plant pathology, entomology, agricultural economics, food science, weed science, ecology, plant or animal genetics, environmental science, forestry, natural resources, agricultural engineering, or horticulture.
Experience with writing and presentations.
Experience communicating with others, one-on-one, and in group settings.
Experience writing, debugging, and teaching programming primarily in the SAS statistical language.
Experience in statistical consulting with an emphasis on agricultural research methods.
Experience in a variety of computing languages, such as Python, C++, and R.
Familiarity with multiple computing environments, such as UNIX, Windows, and Macintosh systems.
Physical Requirements & Working Conditions:
Required Licensures, Certifications or other
Posting Number: SP003998P
Posting Date: 06/23/2023
Open Until Filled: Yes
Special Instructions: Applications received by August 6, 2023 will receive first consideration.
IMPORTANT: To be considered, your 'Letter of Qualification' must address EACH of the required qualifications, including pertinent education and/or experience. In addition, to improve your ranking during the evaluation process, address as many of the Preferred Qualifications as possible. Information on a resume will not be accepted as a substitute for submitting a Letter of Qualification.
For further information or questions, please contact Julia Piaskowski, Director of Statistical Programs; email@example.com
Background Check: Applicants who are selected as final possible candidates must be able to pass a criminal background check.
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