App Programmer/Analyst Sr

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Summary

The job involves working with a highly motivated, collaborative, and multidisciplinary research group involved in clinical, health services, epidemiological, disease surveillance and implementation science research using health systems and community-level data. The team is based in the Division of Nephrology, Department of Internal Medicine at the University of Michigan’s Medical School, Michigan Medicine and the Kidney Epidemiology and Cost Center (KECC). The latter is a multidisciplinary research center, at the University of Michigan’s School of Public health, and is affiliated with the Institute of Health Policy and Innovation (IHPI) and University of Michigan’s School of Medicine.

The main areas of focus are kidney disease surveillance and prevention at regional, national, and international levels, as well as implementation science, learning systems, pharmacoepidemiology and quality improvement. The team has a rapidly evolving portfolio in prevention of non-communicable disease and global health.

Mission Statement

Michigan Medicine improves the health of patients, populations and communities through excellence in education, patient care, community service, research and technology development, and through leadership activities in Michigan, nationally and internationally.  Our mission is guided by our Strategic Principles and has three critical components; patient care, education and research that together enhance our contribution to society.

Why Join Michigan Medicine?

Michigan Medicine is one of the largest health care complexes in the world and has been the site of many groundbreaking medical and technological advancements since the opening of the U-M Medical School in 1850. Michigan Medicine is comprised of over 30,000 employees and our vision is to attract, inspire, and develop outstanding people in medicine, sciences, and healthcare to become one of the world’s most distinguished academic health systems.  In some way, great or small, every person here helps to advance this world-class institution. Work at Michigan Medicine and become a victor for the greater good.

What Benefits can you Look Forward to?

  • Excellent medical, dental and vision coverage effective on your very first day
  • 2:1 Match on retirement savings

Responsibilities*

The candidate will serve as a programmer-analyst working in close partnership with other programmer-analysts at KECC, mentored by the lead programmer/analyst and under the overall supervision of the Principal Investigator and Research Team Director. The candidate will work with large and complex data sets typically employed based on project needs (e.g., Medicare, Medicaid, Department of Veterans Health Administration, Optum, NHANES, and other data sources as needed). (70%). The candidate may be required to work with data provided by industry (e.g., Insurer, Data Company, Pharma or other) and help with its analysis. (10%). The candidate will assist with programming of data sets in preparation for analyses. The candidate will ensure standards for the data structure. The candidate will perform data cleaning and data analyses under the guidance of the study PI(s), Epidemiologists, and Biostatisticians. The candidate will help with grant submissions as appropriate and the team's development of Project Reports and other Deliverables. As required, they will also help explore new data sources as appropriate for the project(s) and assist the PI and Team in understanding them for their potential value (20%).

Required Qualifications*

  • Master’s degree in Biostatistics OR Epidemiology OR Data Science OR Related Field (MS, MPH or equivalent)
  • 5 to 7 years of experience after graduation
  • Extensive knowledge and experience programming in SAS and/or R
  • Statistical Modeling expertise in Linear Regression, Logistic Regression, Generalized Linear Model, Survival analysis, etc.

Desired Qualifications*

  • Experience with Health Informatics, EPIC/CERNER or other types of EHR data analysis
  • Experience with Python, SQL, R, Tableau
  • Experience with Machine Learning and Data mining (Random Forests, Gradient Boosting, KNN, Clustering, Support Vector Machine, etc.)
  • Excellent written and spoken communication skills in English
  • Team player

Work Locations

Flexible schedule, remote work eligible.

Background Screening

Michigan Medicine conducts background screening and pre-employment drug testing on job candidates upon acceptance of a contingent job offer and may use a third party administrator to conduct background screenings.  Background screenings are performed in compliance with the Fair Credit Report Act. Pre-employment drug testing applies to all selected candidates, including new or additional faculty and staff appointments, as well as transfers from other U-M campuses.

Application Deadline

Job openings are posted for a minimum of seven calendar days.  The review and selection process may begin as early as the eighth day after posting. This opening may be removed from posting boards and filled anytime after the minimum posting period has ended.

U-M EEO/AA Statement

The University of Michigan is an equal opportunity/affirmative action employer.


U-M COVID-19 Vaccination Policy

COVID-19 vaccinations, including boosters when eligible, are required for all University of Michigan students, faculty and staff across all campuses, including Michigan Medicine.  This includes those working remotely.   More information on this new policy is available on the Campus Blueprint website or the UM-Dearborn and UM-Flint websites.