Summary
The Center for Healthcare Outcomes and Policy (CHOP) aims to improve the efficiency of healthcare in the United States by optimizing clinical practice and informing health policy. CHOP is a consortium of over 100 faculty and staff, including clinician scientists, economists, biostatisticians, epidemiologists and other social scientists from the U-M Medical School and School of Public Health. More information can be found at: https://medicine.umich.edu/dept/chop

The Statistician in this position will perform statistical programming, analysis, and data management of large administrative claims datasets, and provides technical assistance to research teams. The individual in this position will also assist clinicians and other clinical researchers in determining the appropriate analytical methodology to meet their needs, use various statistical packages, and summarizes and interprets statistical results.

The statistician in this position should be comfortable cleaning large datasets and creating cohort files. This position requires management of very large data sets including Medicare, MarketScan, BCBSM, registries and other data sets, and statistical analysis.

Responsibilities*
The Statistician works closely with faculty, fellows, biostatisticians and data base 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.
Other duties as assigned.
Required Qualifications*
Senior Level:

Degrees in related field with strong computing and quantitative skills will be considered
Bachelors degree in related field, masters degree strongly preferred
3-5 years experience using statistical analysis software (e.g. STATA, SAS, R)
Possesses and able to apply a broad knowledge of principles, practices, and procedures of health services research to the completion of difficult assignments
Must be able to program, manage data, and conduct statistical analysis
Intermediate Level:

Degrees in related field with strong computing and quantitative skills will be considered
Bachelors degree in related field
1-3 years experience using statistical analysis software (e.g. STATA, SAS, R)
Knows and can apply the fundamental concepts, practices and procedures of health services research.
Must be able to program, manage data, and conduct statistical analysis
Desired Qualifications*
Masters degree in Statistics, biostatistics, Public Health, or related field
Experience with coding in at least two of the following; STATA, SAS or R
Experience performing basic regressions and modeling
Direct experience in supporting, managing and analyzing major research projects using large administrative data sets such as Medicare, Medicaid, commercial insurance is preferred
Strong interpersonal and written communication skills
Working knowledge of epidemiologic concepts and methodology
Strong programming knowledge using a high level programming language
Experience with database management and complex data structures and linkages between data sources including understanding medical procedure codes
Ability to draft statistical tests in accordance with project designs and to solve analytic problems, including descriptive statistics, linear regression, logistic regression, survival analysis, mixed models with repeated measures, multi-level modeling, and conjoint analysis
Ability to independently develop instruments and related analysis plans
Experience with multicriteria decision analysis is a plus