Temporary Research Analyst

at  University of Michigan

HOW TO APPLY

A cover letter, CV, one letter of recommendation from faculty. Please inform the faculty to describe your skills for this particular job posting.
The cover letter should address your specific interest in the position and outline skills and experience that directly relate to this position. Applications without documentation required will not be considered.

SUMMARY

The Michigan Farmworker Project in the Department of Epidemiology (School of Public Health) is looking for a research analyst to help assist with the management and analysis of research data. Data for this study comes from 2 sources: (1) the National Agricultural Worker Survey (NAWS), a complex sample survey that collects employment and sociodemographic data of migrant and seasonal farmworkers across the US; and (2) Heat data from publicly available meteorological data: National Oceanic and Atmospheric Administration?s Climate Prediction Center?s.
The general study aim is to conduct a trend analysis to assess changes in heat trends and chronic disease over the years. The Principal Investigator is Dr. Lisbeth Iglesias.

REQUIRED QUALIFICATIONS*

• Master?s degree in Statistics (preferred) or Epidemiology
• Experience working with complex survey data and with a high proficiency in statistics (2 years or more preferred)
• Experience using SAS or R software (2 or more years): skills in programming and data management and statistical analysis are essential
• Experience with Principal Component Analyses or understanding of the analytical process and SAS/R code
• Experience working with meteorological data and being able to create heat maps (preferred)
• Experience manipulating data in excel for analysis
• Being able to work independently with initiative, professionalism and respect
• Have excellent organizational and communication skills
• This project involves a quick turn around with deliverables every week

• Responsible for data management and data analysis, preparation of results table and interpretation to support the publication of manuscripts
• Being efficient and organized when writing code for analysis
• Individuals need to provide deliverables every week (Monday)
• Be proficient in in SAS for data management and analysis. Be comfortable using complex survey data and secondary data
• Be proficient in ArcGIS or any other visualization tool to create heat maps and correlate health related outcomes. Example: https://ephtracking.cdc.gov/Applications/heatTracker/
• Summarize and keep detailed notes of analytical process
• Attend meetings