Remote Quantitative Research Specialist (Healthcare Data)

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

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.