Department of Statistics

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Experiment Station Consulting Statistician and Assistant Teaching Professor
University of Missouri

Company Information: The College of Agriculture, Food and Natural Resources has over 210 faculty members in six academic units: Animal Sciences, Biochemistry, Applied Social Sciences, Food Systems and Bioengineering, Plant Sciences, and Natural Resources. Degree programs are offered to approximately 2,800 undergraduate and 485 graduate students. Interdisciplinary research and teaching is a hallmark of CAFNR, promoting a collaborative environment within the College and across campus. The University of Missouri is located in Columbia, a city of approximately 120,000 that is known for being highly educated and culturally Midwestern. Columbia is located near the center of the state, half-way between Kansas City and St. Louis.

Position Title: Experiment Station Consulting Statistician and Assistant Teaching Professor

Duties and Responsibilities: This position is a 12-month, ranked non-tenure track position with a 70% consulting and 30% teaching appointment. Consulting responsibilities include assisting researchers and graduate students with planning experiments, experimental design, analysis of data, and interpretation of analyses in a consulting role, and collaborating with CAFNR faculty on research projects by serving as a co-investigator on grant proposals or co-author of publications through providing statistical expertise. Teaching responsibilities include: 1) a course for upper level undergraduates and beginning graduate students on basic statistics covering descriptive statistics, probability distributions, estimation, hypothesis testing, regression, and ANOVA; 2) a series of modular courses (5-8 week) at the graduate (8000) level with topics selected be based on need; 3) coordination of special topics seminars delivered monthly and addressing topics on statistical analysis of current interest; and 4) participation on graduate committees.

Position Qualifications: Qualifications include: Earned doctoral degree in an agricultural or natural resources field with strong statistical training and consulting experience (e.g., statistics minor while pursuing graduate studies) or an earned doctoral degree in statistics or a closely related field with substantial training in or experience with problems in an agricultural or natural resources field. Expertise in SAS and R programming is desirable. Division affiliation will be determined based upon discipline expertise.

Salary Range:

Benefits: Benefit Eligibility: This position is eligible for University benefits. The University offers a comprehensive benefits package, including medical, dental and vision plans, retirement, and educational fee discounts. For additional information on University benefits, please visit the Faculty & Staff Benefits website at

Equal Employment Opportunity: The University of Missouri is an equal access, equal opportunity, affirmative action employer that is fully committed to achieving a diverse faculty and staff. For more information, call the Associate Vice Chancellor of Human Resource Services/Affirmative Action officer at 573-882-4256.
The University of Missouri is fully committed to achieving the goal of a diverse and inclusive academic community of faculty, staff and students. We seek individuals who are committed to this goal and our core campus values of respect, responsibility, discovery and excellence.
To request ADA accommodations, please call Human Resource Services at 573-882-7976. TTY users, please call through Relay Missouri, 1-800-RELAY (735-2966) or en EspaƱol at 1-800-520-7309.
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Application Information: Application Procedure: Please apply online via Human Resources, Job ID #23750. Applications should include: a cover letter that details an ability to consult with agricultural and natural resource faculty and graduate students and teach statistics courses; curriculum vitae; names and contact information of three references; teaching evaluations, if available; and transcripts from all universities attended. References will be contacted when appropriate. Review of applications will begin 11/1/2017 and continue until a suitable candidate is recruited. Please direct questions to: Dr. Bill Lamberson, Search Committee Chair by phone at (573) 882-8336 or email at

Contact Email:

Application Deadline: