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University of Michigan
Health Data AnalystUniversity of Michigan • Ann Arbor, Michigan, US
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Health Data Analyst

Health Data Analyst

University of Michigan • Ann Arbor, Michigan, US
18 days ago
Job type
  • Full-time
Job description

Summary

The University of Michigan, School of Nursing (UMSN) is seeking a highly motivated individual to support our research team as a Health Data Analyst. This individual will work with an interdisciplinary, collaborative team to evaluate the effects of disasters and community-level emergencies on health and healthcare utilization, and implement ways to support communities and individuals to prepare for and become resilient to the effects of these events.

This is a full-time, term-limited position due to salary funded on a grant.

Responsibilities*

  • (20%) Use advanced statistical methods to analyze data from a variety of sources, including large administrative databases across a national healthcare system.
  • (20%) Write efficient code for processing data utilizing tools such as Python, SQL, SAS, Stata, or R.
  • (20%) Create processes for assessing quality and accuracy of data.
  • (20%) Develop analysis plans under the supervision of the principal investigator.
  • (20%) Prepare statistical methods and results sections for presentations, reports, and manuscripts.

The above statements are intended to describe the general nature and level of work to be performed and are not an exhaustive list of all associated responsibilities.

Supervision Received:

Supervision is received from the Principal Investigator (PI).

Required Qualifications*

  • Bachelor's degree in a quantitative field, such as biostatistics, statistics, epidemiology, mathematics, health informatics, or applied economics; master's degree or higher level degree strongly preferred.
  • Minimum of two years of programming, data management, and/or analytics experience.
  • Minimum of two years of experience using statistical packages such as Python, SAS, Stata, or R to manage data.
  • Candidate must stay up-to-date with emerging methods and the implementation of methods using statistical software.
  • Candidate must have excellent communication skills with the ability to receive and convey information clearly and concisely for various mediums, especially when describing complex statistical models and results. You will be expected to have solid interpersonal and organizational skills and the ability to work effectively with diverse groups.
  • Demonstrated comprehensive knowledge of statistical methods.
  • Demonstrated intellectual flexibility to adapt to emerging results and research.
  • Demonstrated expertise in managing large and complex datasets.
  • Direct experience with managing and analyzing data.
  • Knowledge of RDBMS/SQL relational databases as well as non-relational databases.
  • Experience with large administrative healthcare data and complex survey design methods.
  • Excellent computer skills, including expert knowledge of Microsoft Office products, including Word, Excel, Outlook, Access, and PowerPoint.

Attributes:

  • A high degree of initiative and resourcefulness.
  • Strong project management skills and experience within a complex and diverse environment working in a diplomatic, collaborative, and effective manner.
  • Ability to handle multiple assignments and deadlines and display excellent judgment while operating in a flexible and professional manner; strong ability to multitask while operating in a fast-paced research environment is essential.
  • Ability to promote the School of Nursing's Declaration of Values to Empower each other to interrupt or disrupt disrespect; Practice communication that is beneficial, kind and true; Inspire and be inspired by our members' worth, significance and integrity; Cultivate respect for ourselves and others routinely, publicly and privately.

Modes of Work

Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the

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Health Data Analyst • Ann Arbor, Michigan, US

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