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.
The University of Michigan Frankel Cardiovascular Center (CVC) Division of Cardiology is seeking a motivated analyst to join the health services research team under the supervision of Dr. Brahmajee Nallamothu. The analyst will work on a variety of grant funded projects aimed at understanding and improving cardiovascular health policy and outcomes across several conditions but with a focus on specialized cardiac procedures like coronary stenting as well as heart attack and cardiac arrest care. Candidates for this position must be driven, with an intellectual curiosity and desire to continue learning, as well as the ability to work on multiple projects at one time.
This cardiovascular research team sits at the Institute for Healthcare Policy and Innovation (IHPI) at the University of Michigan and aims to improve the efficiency of healthcare in the United States, by optimizing clinical practice and informing health policy. The analyst will also have an appointment at the IHPI Data & Methods Hub that reports to the administrative manager and lead statistician, which is a large institutional resource that provides data management and statistical expertise on a variety of projects within Michigan Medicine. Based at the new North Campus Research Complex, IHPI has over 600 faculty members, including clinician scientists, economists, biostatisticians, epidemiologists and other social scientists from the U-M Medical School, School of Public Health, College of Pharmacy, College of Engineering, Law School and others.
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.
This position involves a wide range of tasks related to data management and analysis of quantitative data obtained from large national data registries (such as Medicare/Medicaid), publicly available data, and other various clinical data registries. Specifically, the position involves providing independent and collaborative statistical support including:
Providing guidance for study design issues.
Cleaning, managing, merging, and analyzing data from large clinical datasets.
Supporting faculty and staff in the development of quantitative analysis plans.
Independently conducting appropriate data analyses.
Writing, testing, and implementing programs using SAS/STATA/R to clean, manage, merge, and analyze large, complex 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, and grant proposals.
Participating as a team member in discussions on analysis and improvement of data collection, quality of data analyses, programming and documentation.
Providing general analytic support to project faculty and staff.
- Bachelor’s degree in statistics, mathematics, economics, biostatistics, computer science, information, or related field.
- One or more years of experience in data management, statistical analysis, and/or computer programming.
- One or more years of experience using SAS or Stata for statistical analyses.
- Ability to calculate both descriptive and inferential statistics in accordance with project designs.
- 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.
- Working knowledge of epidemiologic concepts and methodology.
- Experience with complex data structures and linkages between data sources.
- Ability to be consistently detail-oriented.
- Strong interpersonal, oral, and written communication skills.
- Ability to prioritize, organize, and efficiently work on multiple assignments simultaneously.
- Flexibility and ability to work independently and collaboratively with multiple researchers.
- Ability to work effectively with limited supervision.
- Master’s degree in statistics, biostatistics, public health, or a related field.
- Conversant or some knowledge of any of the following methodologies: Logistic and OLS regression, propensity score matching or weighting, interrupted time series, difference-in-difference analysis, survival models, and/or cluster analysis.
- Teaching orientation and interest or experience in communicating and sharing programming and statistical approaches with colleagues and other internal partners.
- Health policy experience, especially interest or knowledge in Medicare/Medicaid.
- Experience managing and analyzing large national clinical data registries such as Medicare/Medicaid.
- Experience with hierarchical modeling.
- Experience with Python, SQL, and R.
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.
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.