Quantitative Research Specialist

Michigan Medicine; Ann Arbor (MI); Hybrid; USD 70,000 - 95,000; Full time

Job summary

Michigan Medicine seeks a statistics-focused data analyst to support CHOP research teams with programming, analysis, and data management of large administrative claims datasets.

You will help clinicians select analytical methods, summarize results, clean datasets, and create cohort files, while collaborating with faculty, biostatisticians and DBAs on study designs and requirements. Hybrid or remote work up to 80% is possible.

Qualifications

• Bachelor's degree in Statistics or closely related field.
• 2 years of statistical support experience with large national administrative healthcare datasets.
• Proficiency with Stata, SAS, R and Python; ability to create tables and graphs.
• Experience with reproducible QC/QA procedures and IRB submissions.

Responsibilities

• Provide technical assistance to research teams and perform statistical programming, analysis, and data management of large administrative claims datasets.
• Assist clinicians and researchers in selecting analytical methods and summarize results.
• Clean large datasets and create cohort files.
• Manage very large data sets (Medicare, MarketScan, BCBSM, registries) and perform analyses.
• Collaborate with faculty, biostatisticians and DBAs to understand project designs and requirements.
• Write, test and implement programs using STATA, SAS or R to clean, merge, and analyze data.
• Develop analyses for presentation and contribute to study reports with tables/graphs.
• Create and maintain technical documentation; contribute to methods for data collection progress.
• Participate as a team member in discussions on analysis and data quality improvements.
• Remote work up to 80% permitted.

Skills

Statistical programming

Data analysis

Cohort design

Education

Bachelor's degree in Statistics or closely-related field

Tools

Stata

SAS

R

Python

Job description

Responsibilities

• Provide technical assistance to research teams and perform statistical programming, analysis, and data management of large administrative claims datasets for Center for Healthcare Outcomes and Policy (CHOP).
• Assist clinicians and other clinical researchers in determining the appropriate analytical methodology to meet their needs, use various statistical packages, and summarize and interpret statistical results.
• Clean large datasets and create cohort files.
• Manage very large data sets, including Medicare, MarketScan, BCBSM, registries and other data sets, and perform statistical analysis.
• Work closely with faculty, fellows, biostatisticians and database administrators to: understand research project and proposal designs and requirements
• Write, test and implement programs based on the analytic design of the project or proposal using STATA, SAS or R to clean, manage, merge, and analyze data;
• Develop statistical analyses for presentation and discussion with the principal investigator and others; contribute to study reports or manuscripts by preparing tables, graphs and other data displays
• Create and maintain technical documentation; contribute to the development of methods to evaluate progress of data collection on new projects
• Participate as a team member in discussions on analysis and improvement of data collection, quality of data analyses, programming and documentation.
• Remote work up to 80% permitted.

Required Qualifications

• Requires Bachelor's degree in Statistics or closely-related field
• 2 years of experience providing statistical support for academic research using large national administrative healthcare and/or public health datasets: curating, cleaning, variable construction, and analysis planning and implementation for cross-sectional and longitudinal studies; designing and executing reproducible data QC/QA procedures; using Stata, SAS, R and Python; contributing to study reports or manuscripts by preparing tables, graphs, methods, results and other data displays; and aiding in proposal writing and IRB submissions.

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 any time after the minimum posting period has ended.

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.