Statistician/Data Analyst

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.

Summary

The Department of Psychiatry at the University of Michigan is seeking a motivated and organized individual to join our growing multidisciplinary research team. The Statistician will work with investigators and other research team members to carry out a range of programming and analytic tasks accurately and efficiently for a number of studies. This will include supporting studies both already concluded and actively collecting data through data management, statistical data analysis using SAS, preparation of results and reports for investigators, as well as the presentation of data in figures and tables. The individual must be self-motivated and have a strong interest in programming and working with large datasets, as this position will entail extensive data management.

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*

• Process and combine data sources including administrative data, complex surveys, and semi-structured and structured interviews for multidisciplinary mental health services research.

• Employ appropriate data management techniques given the data structure and specific research and evaluation questions. Detailed documentation of database structure and content.

• Under the supervision of project principal investigators and biostatisticians, execute analyses such as logistic regression.

• Attend regular meetings with project investigators and research team to discuss progress and prepare presentations of study findings, including drafting methods and results sections of reports and papers as it relates to data processing/management.

Required Qualifications*

• Bachelor's degree in Statistics, Public Health (Biostatistics, Epidemiology, or Health Services), Informatics, Social Sciences, or related field.
• 1-3 years of related professional experience.

Desired Qualifications*

• Master's degree in Statistics, Public Health (Biostatistics, Epidemiology, or Health Services), Informatics, Social Sciences, or a related field.

• Previous experience processing and manipulating data in other statistical applications such as R, SPSS, or Stata.

• Prior experience working with research and/or healthcare data (e.g., protected health information data).

• Experience using statistical models including linear and logistic regression, mixed effects models, latent class models, and machine learning approaches.

• Experience with writing and editing programs in SAS to process and manage data.

• Ability to code in python.

• Be able to process and manage data and conduct statistical analyses using SAS, and must be open to learning other programs.

• Have demonstrated data management skills and experience preparing data for analysis.

• Have at least introductory knowledge of statistical theory and application, and a willingness to learn and apply new methods and approaches.

• Have excellent technical writing skills for documenting database structure and content.

• Have excellent communication skills (both written and verbal), including the ability to independently prepare correspondence (e.g. email messages) and write/edit/produce report.

Work Schedule

The work schedule for this position is days, Monday - Friday.

Work Locations

The work location for this position is Ann Arbor Campus/Hybrid.

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/AA Statement

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

Job Detail

Job Opening ID

250060

Working Title

Statistician/Data Analyst

Job Title

Statistician Intermediate

Work Location

Ann Arbor Campus

Ann Arbor, MI

Full/Part Time

Full-Time

Regular/Temporary

Regular

FLSA Status

Exempt

Organizational Group

Medical School

Department

MM Psych HlthSvc Outcome Rsrch

Posting Begin/End Date

6/06/2024 - 6/30/2024

Career Interest

Research

Apply Now