Graduate Student Instructor LHS 610

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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.

Summary

The Graduate Student Instructor (GSI) will be key member of the instructional team for LHS 610 Exploratory Data Analysis for Health course. The team will comprise of the instructor (Andrew Krumm) and the GSI.

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.

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

Course Description

Real health data is complex, often unstructured, at times inaccurate, inconsistent, contains missing values, and is organized for clinical care rather than to meet analytic needs. Learning from health data requires a solid grasp of data operations, data visualization, statistics, and machine learning, as well as an understanding of ethical and legal frameworks guiding health data privacy and security. Students in this course will learn foundational topics in data science focused on health data and will apply this knowledge on real health datasets through hands-on labs integrated into the lectures. The course is based on two large themes: (a) understanding health data, and (b) making inferences based on data. Students will develop a systematic working understanding of R, one of the most widely used languages for data science, and an introductory understanding of several packages useful in analyzing health data. They will participate in a group project focused on answering a health-related question. After completing this course, students should be able to securely store a health data set, summarize its structure, merge tables, visualize relationships, reshape and subset it to meet analytic needs, deal with missing values, apply statistical and machine learning methods to build prediction models, and evaluate the performance of these models.

Responsibilities*

The GSI will be expected to co-teach the in-person lab section of the course (1.5 hours) with the primary instructor, grade assignments, and hold office hours weekly (up to 3 hours) to support students' learning. Creating additional educational materials (e.g., interactive notebooks) is optional (and encouraged) but not required.

Note: The statements included in this description document reflect the general nature and level of work for this role and should not be interpreted as all-inclusive.

Required Qualifications*

  • Good standing in an academic program at the University of Michigan
  • Knowledge of the R programming language and tidyverse packages

Desired Qualifications*

  • Prior university-level teaching experience
  • Prior university student mentoring or student tutoring experience

Work Locations

Ann Arbor

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.

Contact Information

Andrew Krumm aekrumm@umich.edu

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.

Decision Making Process

The Course Instructor will make the hiring decision in consultation with the Graduate Chair. Decisions to be made by no later than mid-December.

Selection Process

Applications are reviewed, and decisions made, based on each applicant's knowledge, experience, and past teaching record. Preferential consideration will be given to applicants in PhD programs at the University of Michigan where their research is related to the content of this course.

GEO Contract Information

The University will not discriminate against any applicant for employment because of race, creed, color, religion, national origin, ancestry, genetic information, marital status, familial status, parental status or pregnancy status, sex, gender identity or expression (whether actual or perceived), sexual orientation, age, height, weight, disability, citizenship status, veteran status, HIV antibody status, political belief, membership in any social or political organization, participation in a grievance or complaint whether formal or informal, medical conditions including those related to pregnancy, childbirth and breastfeeding, arrest record, or any other factor where the item in question will not interfere with job performance and where the employee is otherwise qualified. The University of Michigan agrees to abide by the protections afforded employees with disabilities as outlined in the rules and regulations which implement Section 504 of the Rehabilitation Act of 1973 and the Americans with Disabilities Act.


Information for the Office for Institutional Equity may be found at https://oie.umich.edu/ and for the University Ombuds at https://ombuds.umich.edu/


Unsuccessful applications will be retained for consideration in the event that there are last minute openings for available positions. In the event that an employee does not receive their preferred assignment, they can request a written explanation or an in-person interview with the hiring agents(s) to be scheduled at a mutually agreed upon time.


This position, as posted, is subject to a collective bargaining agreement between the Regents of the University of Michigan and the Graduate Employees' Organization, American Federation of Teachers, AFL-CIO 3550.


Standard Practice Guide 601.38, Required Disclosure of Felony Charges and/or Felony Convictions applies to all Graduate Student Assistants (GSAs). SPG 601.38 may be accessed online at https://spg.umich.edu/policy/601.38 , and its relation to your employment can be found in MOU 10 of your employment contract.

U-M EEO/AA Statement

The University of Michigan is an equal opportunity/affirmative action employer.