What are the responsibilities and job description for the Informational And Statistical Analyst position at Michigan State University College of Engineering?
Position Summary
This position will support research in the Lark Agricultural Land Solutions (AgLands) Lab. The successful applicant will perform GIS analysis, data processing, cartographic design, and website development and management.
Principal Duties Include
Knowledge equivalent to that which normally would be acquired by completing a four-year college degree program in Business , Statistics or Mathematics with relevant course work in computer programming; one to three years of related and progressively more responsible or expansive work experience in programming, database management or data collection; or an equivalent combination of education and experience.
Desired Qualifications
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, age, disability or protected veteran status.
Required Application Materials
CV/Resume
Special Instructions
Contact Dr. Tyler Lark(larktyle@msu.edu) with inquiries regarding position
Work Hours
STANDARD 8-5
Description of End Date
This is an off-dated position funded for one year from the date of hire with possible extension contingent upon funding renewal.
Website
https://www.canr.msu.edu/psm/
Remote Work Statement
MSU strives to provide a flexible work environment and this position has been designated as remote-friendly. Remote-friendly means some or all of the duties can be performed remotely as mutually agreed upon.
Bidding eligibility ends April 28, 2026 at 11:55 P.M.
This position will support research in the Lark Agricultural Land Solutions (AgLands) Lab. The successful applicant will perform GIS analysis, data processing, cartographic design, and website development and management.
Principal Duties Include
- Providing technical assistance on research projects on U.S. agriculture and environmental policy
- Making contributions to scientific publications
- Graphic design, programming in Python, R, SQL, JavaScript, and other programming languages
- Processing spatial data using advanced techniques
- Processing spatial data using advanced techniques
- Spatial database management - Design, implement and maintain spatial landcover databases. Structure databases that can be queried to extract data for analysis.
- GIS analysis – Analysis of spatial data to explore geographic patterns and relations among datasets.
- Geo-visualization - Create graphics (maps, histograms, scatterplots, etc) for data exploration and representation.
- Web mapping - Create interactive web maps for presenting and disseminating datasets created from the lab.
Knowledge equivalent to that which normally would be acquired by completing a four-year college degree program in Business , Statistics or Mathematics with relevant course work in computer programming; one to three years of related and progressively more responsible or expansive work experience in programming, database management or data collection; or an equivalent combination of education and experience.
Desired Qualifications
- 5 years of experience with GIS, Python, R, SQL, and JavaScript programming languages, and ability to work with both raster and polygon spatial data.
- Experience with land change science, particularly in the USA and agricultural settings.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, age, disability or protected veteran status.
Required Application Materials
CV/Resume
Special Instructions
Contact Dr. Tyler Lark(larktyle@msu.edu) with inquiries regarding position
Work Hours
STANDARD 8-5
Description of End Date
This is an off-dated position funded for one year from the date of hire with possible extension contingent upon funding renewal.
Website
https://www.canr.msu.edu/psm/
Remote Work Statement
MSU strives to provide a flexible work environment and this position has been designated as remote-friendly. Remote-friendly means some or all of the duties can be performed remotely as mutually agreed upon.
Bidding eligibility ends April 28, 2026 at 11:55 P.M.