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.
Please note: This position may be filled at the title of Statistician Senior or Statistician Intermediate, depending on level of expertise, education and years of experience. The salary range for the Senior level position is $75,000-$90,000 and the salary range for the Intermediate level position is $65,000-$75,000.
The Institute for Firearm Injury Prevention is a transdisciplinary institute that works to engage the breadth of expertise across the University of Michigan, with input from nonacademic stakeholders, to generate knowledge and advance solutions that will decrease firearm injury in the United States . The Institute fosters research that is mindful of the critical social and historical context of firearms in the U.S., and is inclusive and encourages diverse viewpoints, disciplinary perspectives, and approaches. The Institute also serves as a national hub for research that will drive new solutions to this public health crisis, and will train the next generation of leaders in the field. The Institute is supported by an organizational structure that provides internal oversight and external guidance, and focuses activities across four cores: 1) research, 2) education and training, 3) community outreach and translation, and 4) data and methods; and across six pillars: firearm-related suicide, firearm-related intimate partner violence, community violence, unintentional shootings, police shootings, and mass/school violence.
A Senior/Intermediate Statistician is sought to work closely with the team in the Institute to support research on firearm and related violence prevention and conduct research data analysis. The successful candidate will specialize in quantitative behavioral science and work with the Data and Methods Core Leads and Principal Investigators. They will conduct analyses to further the research mission of the Institute's research projects including the Community Firearm Violence Prevention Network, which will include data analysis for Network research projects and analysis of combined Network data. This role will also require oversight, management and linkage of Network research data.
Specific tasks performed will include:
Writing programs to clean data and perform statistical analysis in SAS, Stata, R, and/or Python.
Perform statistical analyses using a variety of statistical models and methods, including generalized linear models (e.g., linear, logistic, and count regression), survival analyses, mixed models, and machine learning techniques.
Perform cleaning and documentation of data generated from Institute studies or studies run by Institute investigators, including the Community Firearm Violence Prevention Network studies; these may include primary data, as well as data from large databases and complex survey samples.
Contribute to study design decisions, including sample size justification.
Documentation and presentation of analytic results.
Creating high quality data visualizations for data briefs, manuscripts, or presentations.
Procuring external data sources needed to supplement studies (e.g., publicly available data from the census, CDC WONDER, ICPSR, or other sources).
Bachelor's degree in Statistics, Public Health (Biostatistics, Epidemiology, Health Services), or related field
1-3 years of relevant work experience is required for the Intermediate level position, and 3-5 years of relevant work experience is required for the Senior level position.
Highly motivated, organized, autonomous person with excellent multi-tasking ability and record-keeping.
Must be able to program, manage data, and conduct statistical analyses using statistical software packages such as R, SAS, and/or Stata.
Demonstrated data management skills and experience preparing data for analysis.
Solid grounding in statistical theory and application to behavioral science, and willingness to learn and apply new methods and approaches.
Excellent communication skills, both written and verbal.
Exceptional ability to independently prepare correspondence (especially with e-mail messages) and write/edit/produce reports.
Professional demeanor and excellent interpersonal skills
Ability to work and communicate effectively with a multidisciplinary team.
Master's degree in Statistics, Public Health (Biostatistics, Epidemiology, or Health Services), or a related field
Experience with complex survey samples, and administrative and clinical claims data
Experience working with team science groups to meet a common goal.
This position is for a hybrid work schedule of both in-person and remote work with 2 days of on campus work expected each week.
This position may be filled at the title of Statistician Senior or Statistician Intermediate, depending on level of expertise, education and years of experience. The salary range for the Senior level position is $75,000-$90,000 and the salary range for the Intermediate level position is $65,000-$75,000.
The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third party administrator to conduct background checks. Background checks are performed in compliance with the Fair Credit Reporting Act.
The University of Michigan is an equal opportunity/affirmative action employer.
About University of Michigan - Ann Arbor
A great university is made so by its faculty and staff, and Michigan is recognized as one of the best universities to work for in the country. The Michigan culture is known for engaging faculty and staff in all facets of the university to create a workplace that is vibrant and stimulating.For two consecutive years, the Chronicle of Higher Education has placed U-M in its "Great Colleges to Work For" survey. In particular, the university earns high marks for strong relations between faculty and administrators, a collaborative system of governance, strong pay and benefits, and a healthy work/life balance.
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