Summary
Are you ready to make a real impact in healthcare? Are you passionate about using data to drive clinical practice and policy change? The University of Michigan Institute for Healthcare Policy and Innovation (IHPI) Data and Methods Hub (DMH) invites you to join our team of experienced researchers and be part of the next generation of health services research.
As a Senior or Intermediate Data Analyst, you will collaborate with top experts in the field of health services research, data science, epidemiology, and biostatistics. You will work on exciting research projects that will help shape the future of healthcare. Your skills and expertise in machine learning and statistical analysis will be instrumental in these groundbreaking projects. You'll be supported by a collaborative team at the IHPI Data & Methods Hub, giving you access to mentors who will nurture your career growth and help you tackle challenging analytic problems.
The most important skills for this position are:
Strong statistical knowledge using Statistical Analysis System (SAS), Python, and/or R to implement data management of large longitudinal claims and electronic medical records datasets. Candidates should also have an aptitude for statistical and machine learning methods.
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.
Responsibilities*
This position involves a range of tasks related to data management and analysis of quantitative data obtained from providers such as Medicare, Medicaid, and electronic health record data from the University of Michigan. Specifically, the position involves providing independent and collaborative statistical support including:
- Working with administrative claims datasets using medical codes, such as International Classification of Diseases, 9th and 10th Revision (ICD9 and ICD10) as well as Current Procedural Terminology (CPT) to identify the appropriate cohort and variables of interest.
- Developing and refining research strategies.
- Identifying code or data issues and finding solutions.
- Performing a wide range of analyses (e.g., hierarchical linear models, survival analysis, propensity score estimation, random forests, XGBoost)
- Providing guidance for study design issues.
- Supporting faculty and staff in the development of quantitative analysis plans across policy and clinical disciplines.
- Writing, testing, and implementing programs using SAS/Python/R to clean, manage, merge, and analyze large (>1 terabyte) administrative claims datasets.
- Preparing and maintaining technical documentation of data and analysis files.
- Summarizing, interpreting, and presenting results in written, tabular, and visual formats for reports, manuscripts, and presentations.
- Assisting in the writing and editing of reports, abstracts, manuscripts, conference presentations, or grant proposals.
Required Qualifications*
Senior Statistician:
- Bachelor's degree in data science, analytics, statistics, mathematics, economics, biostatistics, computer science, information, or related field.
- Three or more years of experience in data management and statistical analysis.
- Proven ability to write clear and concise analytical documentation, summaries of various methodologies, and descriptions of statistical results, as well as create charts, tables, and other visual aids.
- Ability to work in a fast-paced environment, handle multiple projects simultaneously, set priorities, and take initiative while keeping supervisors and project leads informed.
- Experience with complex data structures and linkages between data sources.
- Solid foundation in applied econometrics, statistics, or machine learning.
- Ability to be consistently detail-oriented.
- Strong interpersonal, oral, and written communication skills.
- Flexibility and ability to work independently and collaboratively with multiple researchers.
- Ability to work effectively with limited supervision.
Intermediate Statistician:
- Bachelor's degree in mathematics, statistics, biostatistics, computer science, information, or related field.
- 1-3 years related professional experience
- Experience with SAS/STATA/R/Python or other statistical programming package.
- Ability to be consistently and extremely detail-oriented.
- Ability to draft statistical tests under guidance of team members, solve analytic problems, and develop related analysis plans.
- Ability to learn and manage complex data structures and linkages between data sources.
- Strong interpersonal and written communication skills. Proven ability to write clear and concise technical documentation, summaries of various methodologies, and descriptions of statistical results.
- Ability to prioritize, organize, and efficiently work on multiple projects at the same time.
- Flexibility and ability to work independently and collaboratively with multiple researchers.
Desired Qualifications*
- Master's degree in data science, analytics, statistics, mathematics, economics, biostatistics, computer science, information, or related field
- Extensive experience using SAS, Python, or R.
- Teaching orientation and interest or experience in communicating and sharing programming and statistical approaches with colleagues and other internal partners.
- Conversant or some knowledge of the following statistical methodologies: hierarchical logistic and linear regression, Cox regression, propensity score matching and inverse probability treatment weighting, random forests, neural networks, XGBoost, Explainable Boosting Machines (EBMs), Generalized Additive Models (GAM).
- Experience managing and analyzing large national insurance claims data such as Medicare/Medicaid, MarketScan or others.
- Experience with SQL.
Work Schedule
M-F 9-5
Work Locations
North Campus Research Complex - Building 16
Underfill Statement
This position may be underfilled at a lower classification depending on the qualifications of the selected candidate.
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.