Statistician for Community Systems Change Team - APPS DUE 01/18/19

Jan 09, 2019

STATISTICIAN/DATA MANAGER POSITION

Apply Online by 01/18/19: http://careers.msu.edu/cw/en-us/job/500514/research-assistant-iii

Position Summary

The lead statistician is an integral member of the System exChange Research and Evaluation Team led by Dr. Foster-Fishman. This team works on understanding and promoting community systems change.

The statistician hired for this position will have primary responsibility for planning and conducting the quantitative data analysis for a variety of evaluation and research projects, including:  translating research questions into appropriate statistical analyses; creating data analysis plans; managing and integrating datasets; analyzing complex data through descriptive and inferential statistical analyses; and supporting project teams across a variety of analytic support needs. The statistician works closely with other team leads to write and create reports that are high-quality and user-friendly for our partner communities.

Central to community systems change is continuous and adaptive learning.  Evaluation/learning activities are real-time and are used to inform current and future strategies which makes the System exChange a dynamic, responsive workplace.

Unit Specific Education/Experience/Skills

Knowledge equivalent to that which normally would be acquired through completion of one or two years of post-bachelor degree work, such as a Master's in a social sciences area or evaluation/statistics field; one to three years of related and progressively more responsible or expansive work experience in quantitative research and statistical analysis; research methodologies, writing reports, data interpretation and handling; or an equivalent combination of education and experience.

Desired Qualifications

  • 2-3 years of community-based research experience, including evaluation design.

  • Background in evaluation theory and practice.

  • Experience in HLM or SEM data analysis.

  • Experience in quantitative and qualitative research.

  • Extensive computer skills including but not limited to: Word, Excel, SPSS, PowerPoint

Required Application Materials

  • Cover Letter

  • CV/Resume

  • 3 Professional References with Contact Information

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.



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