Database Analyst/Prgm Inter

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　　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. Please include types of analyses you can do and example code (see below).

　　Example Code :Candidates will be asked to provide an example code of data management (e.g., merging and cleaning) and analysis (univariate, multivariable) using large data (e.g., nationally representative household survey).

　　Summary

　　A research faculty member in the Department of Internal Medicine, Division of General Medicine seeks a full-time Database Analyst / Programmer Intermediate to join interdisciplinary research teams including physicians, statisticians, social scientists, and health services researchers.

　　We are seeking a master-level analyst/statistical programmer with experience in managing and analyzing large longitudinal data for health outcomes research. Research experience with large data management and analyses data are preferred. The analyst will work under the supervision of a research faculty member (Ph.D.). Independent problem-solving skills are not required for this job, but the analyst must understand both database and research complexities. We support and encourage opportunities for the analyst to participate in ongoing training, collaborative research meetings, advanced methods workshops, and papers.

　　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*

　　This position involves survey data management and statistical analysis using multiple household survey data -- Health and Retirement Study (HRS). It also uses administrative data such as Centers for Medicare & Medicaid Services (CMS) data. Specifically, the position involves the following responsibilities:

　　Managing and analyzing nationally representative household data and administrative health and healthcare data

　　Mapping and visualizing geographic contextual data

　　Preparing and maintaining technical documentation of data management and analysis files

　　Summarizing, interpreting, and presenting results in written, tabular, and visual formats

　　Assisting in creating progress reports for the project sponsor

　　Assisting in the writing and reviewing of manuscripts and grant proposals

　　Participating as a team member in discussions on data collection, management, and analysis

　　Training undergraduate research assistants in data collection and management

　　Required Qualifications*

　　Masters degree in public health, health services research, statistics, or related fields.

　　Ability to do data management and conduct analysis based on study design under supervisors guidance

　　Working knowledge of concepts and methods in health and health behaviors, epidemiology, and statistics

　　Confidence in working with data structures and linkages between data sources

　　At least one year of practical experience with programming using STATA or other comparable statistical software (e.g., SAS)

　　Some experience with spatial data (e.g., mapping)

　　Excellent communication, both oral and written in the English language

　　Ability to prioritize, organize, and efficiently work on multiple databases at the same time

　　Desired Qualifications*

　　3 years or more of experience in data management and statistical analysis using large household survey data, in particular, HRS and CMS data

　　Experience in working with restricted data in a secure computational environment (e.g., Secure Data Enclave)

　　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.

　　Job Detail

　　Job Opening ID

　　244465

　　Working Title

　　Database Analyst/Prgm Inter

　　Job Title

　　Database Analyst/Prgm Inter

　　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 Int Med-General Medicine

　　Posting Begin/End Date

　　1/24/2024 - 1/31/2024

　　Career Interest

　　Information Technology

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