Statistician Senior

Michigan Medicine; Ann Arbor (MI); Hybrid; USD 90,000 - 130,000; Full time

Job summary

Michigan Medicine is seeking a Senior Statistician to support research in the SHARED Experiences Lab within the Department of Psychiatry. You will lead analyses, manage datasets, and contribute to manuscripts, focusing on sleep/activity data and dyadic health outcomes.

The role requires a Bachelor's degree with 3–5 years of experience; a Master's in statistics/biostatistics is preferred. Hybrid or remote work options may be available, with a full-time schedule in Ann Arbor, MI.

Qualifications

• Bachelor's degree in a field related to the duties.
• 3–5 years of professional experience required.
• Experience with longitudinal dyadic and intensive longitudinal data.

Responsibilities

• Conduct descriptive and multilevel quantitative analyses and document methods.
• Clean and analyze actigraphy data to assess sleep and activity.
• Prepare and manage datasets, merge and reshape data as needed.
• Create tables/figures and develop online surveys (REDCap, Qualtrics).
• Lead or co-author manuscripts and abstracts.

Skills

Longitudinal data analysis

APIM

Multilevel modeling

Actigraphy data analysis

Statistical testing

Data management

Education

Bachelor's degree in science

Master's degree in statistics/biostatistics

Tools

REDCap

Qualtrics

APIs/data retrieval

Job description

Job Summary

To assist with research activities within the Support, Health, and Resilient Engagement in Daily Life (SHARED) Experiences Lab directed by Dr. Courtney Polenick in the Department of Psychiatry at the University of Michigan. Key projects funded by the National Institute on Aging focus on family caregivers and older adults living with Alzheimer's disease and related dementias. The overall goal of this research program is to identify potentially modifiable daily experiences (e.g., daily stress and sleep patterns) within care dyads (i.e., family caregivers and the people they support) that influence health and well-being over time.

Responsibilities

The Statistician Senior will work closely with faculty and research staff to conduct and maintain technical documentation of descriptive and multilevel quantitative analyses; clean, offload, and analyze actigraphy data to assess sleep and physical activity; prepare, clean, and manage datasets, including merging datasets together, transposing datasets from long form to wide form and vice versa, creating scales and indexes, and recoding variables for analysis; create tables and figures of findings; develop and program online surveys (e.g., REDCap, Qualtrics); lead or co-author manuscripts and abstracts; and perform other duties as assigned.

Required Qualifications

• A minimum of a Bachelor's degree in a recognized field of science or learning which is directly related to the duties of the position.
• 3-5 years of professional experience are required.
• Must have experience in the management and analysis of longitudinal dyadic data and intensive longitudinal data, along with experience in (or willingness to learn) cleaning, offloading, and analyzing actigraphy data.
• The ability to independently select appropriate statistical tests in accordance with project designs and to solve analytic problems, including descriptive analyses (e.g., frequencies, correlations, and cross tabulations) as well as more complex analyses (e.g., ANOVAs, t tests, linear and logistic regressions, multilevel modeling, actor-partner interdependence models [APIM]), is also required for this position.

Desired Qualifications

• A Master's degree in statistics, biostatistics, or a related field; academic knowledge of a health science discipline, such as public health, psychology, social work, or related behavioral sciences
• Experience in managing and analyzing multilevel datasets in major research projects; experience in the use of Web Application Programming Interfaces (APIs) to access and download data for analysis; experience in the use of survey administration tools (e.g., REDCap, Twilio, Qualtrics); and strong interpersonal and written communication skills.

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.

Work Schedule

This is a full-time position; 40 hours/week Monday through Friday. Core hours are 9 AM - 5 PM but could potentially change based on operational needs and required meetings.

Work Locations

This position has the capability to work a hybrid schedule or potentially a remote schedule. This position is located Ann Arbor, MI in one of our offsite campus locations.

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.

In addition to the screenings indicated above under Michigan law, a criminal history check including fingerprinting is required as a condition of transfer or employment for this position.

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.

E-Verify

The University of Michigan participates with the federal EVerify system. Individuals hired into positions that are funded by a federal contract with the FAR EVerify clause must have their identity and work eligibility confirmed by the EVerify system. This position is identified as a position that may include the EVerify requirement.

U-M EEO Statement

The University of Michigan is an Equal Opportunity Employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants, including protected veterans and individuals with disabilities.