Job Description

How to Apply

A cover letter is required for consideration for this position and should be attached as the first page of your resume. The cover letter should address your specific interest in the position and outline skills and experience that directly relate to this position. All interested candidates should submit example code and a scientific writing sample with their application for this position.  

Job Summary

The Department of Internal Medicine, Division of General Medicine, is seeking an experienced and motivated statistical analyst to support the analysis of data derived from surveys, insurance claims, and geographic datasets. The position presents an exciting opportunity to contribute to the research of a faculty member focused on population health and health care research.

This position requires proficiency in diverse research methods and assistance in writing sections of manuscripts and grants. The ability to apply independent problem-solving to existing and emerging scientific knowledge is required. This position requires advanced communication skills and being highly interactive with other team members. Participation in career development seminars and workshops is supported and encouraged.

Job salary will be commensurate with experience and education.

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?

Responsibilities*

This position involves a wide range of tasks related to the management and analysis of quantitative data from surveys, claims, and geographic data. Specifically, the position involves providing independent and collaborative statistical support including:

Required Qualifications*

Desired Qualifications*

Work Locations

This position offers a flexible Hybrid work schedule, including remote work, but it requires some office presence (weekly or bi-weekly).

Modes of Work

Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes.

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.

*Please mention you saw this ad on LGBTInAcademia.*

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