Position Summary
The Michigan Twins Neurogenetics Study (MTwiNS) at Michigan State University is seeking a full-time Informational and Statistical Analyst to oversee all data analyses for the MTwiNS project. MTwiNS is a large scale research study funded by the National Institute of Mental Health (NIMH) and the Eunice Kennedy Shriver National Institute of Child Health and Development (NICHD) that examines neural responses to neighborhood disadvantage, the origins of that association, and its consequences for child and adolescent outcomes. The
Informational and Statistical Analyst will take the lead on developing procedures for database management, preparation and cleaning of data files, integrating data files, creating and updating summary files, and leading data management and analysis activities. General responsibilities will include: monitoring data collection for the project; developing and maintaining the databases used to store the large amount of collected data; updating, merging, cleaning, and scoring study data on a regular basis; assisting with data extraction and compilation; analyzing study data for research paper and grant applications; training and supervising graduate and undergraduate research assistants on data management procedures; and consulting with project staff. The position will include a competitive salary and benefits.
Unit Specific Education/Experience/Skills
Knowledge equivalent to that which normally would be acquired by completing a four-year college degree program in Business, Statistics, Mathematics, Computer Science or other related field; one to three years of related and progressively more responsible or expansive work experience in programming, data base management or data collection; or an equivalent combination of education and experience
Desired Qualifications
Master''s degree or Ph.D. in related discipline, including Statistics, Biostatistics, Mathematics, or a social science field with a research emphasis. Someone with experience and training in setting up and leading data management procedures. Proficiency with multiple regression techniques for a variety of dependent variable distributions (e.g., count variables, etc.). Experience with computer programming, data analysis, and database administration in an academic research setting; data programming skills; familiarity with database management systems (e.g., Microsoft Excel and Access); experience using statistical packages (e.g., SPSS and Stata); strong verbal and written communication skills; excellent organizational skills; ability to work independently.
Required Application Materials
Letter of interest in the position
CV or Resume
List of 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 date of hire with possible extension contingent upon funding renewal.
Bidding and Eligibility Ends on 2/19/19 at 11:55 PM
