Statistician Intermediate/Injury Center Lead Analyst

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Summary

The University of Michigan Injury Prevention Center (UMIPC) is seeking an outstanding statistician to support the data analysis activities of the center, in collaboration with the Statistics and Methods section Director. The UMIPC is one of nine CDC-funded regional injury research control centers that carries out research, training, and outreach missions with the overall goal of preventing injury. One of the core outreach activities of the center is the System for Opioid Overdose Surveillance (SOS)—a near real-time system for tracking fatal and non-fatal overdoses in the state of Michigan that is housed in the Statistics and Methods section. The successful candidate will a) work as the lead analyst in the Statistics and Methods section of the center and will conduct analyses to further the many UMIPC research studies, and studies directed by the UMIPC investigators both independently and under the supervision of the section head, Dr. Jason Goldstick.

Why Join Michigan Medicine?

Michigan Medicine is one of the largest health care complexes in the world and has been the site of many groundbreaking medical and technological advancements since the opening of the U-M Medical School in 1850. Michigan Medicine is comprised of over 30,000 employees and our vision is to attract, inspire, and develop outstanding people in medicine, sciences, and healthcare to become one of the world’s most distinguished academic health systems.  In some way, great or small, every person here helps to advance this world-class institution. Work at Michigan Medicine and become a victor for the greater good.

What Benefits can you Look Forward to?

  • Excellent medical, dental and vision coverage effective on your very first day

  • 2:1 Match on retirement savings

Responsibilities*

Specific tasks performed will include:

·         Perform cleaning and documentation of data generated from studies run by UMIPC investigators; these may include primary data, as well as data from large databases, such as the Optuminsight data base.

·         Writing programs to clean data and perform statistical analyses in SAS, Stata, R, and/or Python, including the handling of massive data sets (e.g., claims databases)

·         Formulating and implementing statistical analysis plans tailored to specific project needs

·         Documentation and presentation of analytic results

·         Creating 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)

·         Ensuring the fidelity of SOS data through running, and modifying as needed, data checking codes

·         Working daily to guarantee timely upload of cleaned and checked SOS data to the web server

Required Qualifications*

  • Bachelor's degree in Statistics, Public Health (Biostatistics, Epidemiology, Health Services), or related field

  • 1-3 years professional experience 

  • 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.

  • Experience using Python (pandas in particular)

  • Demonstrated data management skills and experience preparing data for analysis, including handling of massive data sets

  • Solid grounding in statistical theory and application, and willingness to learn and apply new methods and approaches.

  • Possession of 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

Desired Qualifications*

  • Master's degree in Statistics, Public Health (Biostatistics, Epidemiology, or Health Services), or a related field

  • Experience with web development using Java

  • Experience with administrative and clinical claims data, such as Optuminsight or other large commercial claims databases, and Medicaid or other large health systems.

Additional Information

The Department of Emergency Medicine at Michigan Medicine is committed to creating an environment that is welcoming to all. We strive to value the unique contributions of individuals, and support a culture of inclusivity among our employees, learners and larger community. This includes supporting the development of a diverse workforce across identities such as race, ethnicity, national origin, sexual orientation, gender identity, age, citizenship, marital status, religion, language, disability, and Veteran status. We are proud to be an equal opportunity and an affirmative action employer.

Contact Information:

For questions regarding this position, please contact Dr. Jason Goldstick at jasoneg@umich.edu

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.


U-M COVID-19 Vaccination Policy

COVID-19 vaccinations, including boosters when eligible, are required for all University of Michigan students, faculty and staff across all campuses, including Michigan Medicine.  This includes those working remotely.   More information on this new policy is available on the Campus Blueprint website or the UM-Dearborn and UM-Flint websites.