LEO Lecturer III

Apply Now
Summary

The Department of Computational Medicine & Bioinformatics at the University of Michigan-Ann Arbor is inviting applications for a Lecturer III position for Fall Term 2023 and Winter Term 2024 to assist in teaching Bioinformatics 575 and Bioinformatics 527. The courses will be taught in person at the Ann Arbor campus and meet Monday through Thursday for classroom lectures as well as hands-on laboratory sessions. The successful candidate will be mentored by two Lecturer IV faculty who serve as the course directors and will guide the successful candidate as they participate in teaching and advising students in the growing Bioinformatics Master's program.

Course Descriptions:

BIOINF527 : Students will be introduced to the fundamental theories and practices of Bioinformatics through a series of integrated lectures and labs. A broad range of topics will be covered illustrating how bioinformatics is shaping the modern landscape of biomedical research. Students develop practical skills for processing, visualizing, and analyzing high-throughput biomedical data.

BIOINF575 : Programming Laboratory in Bioinformatics - This course introduces the principles of general computer programming and relational databases as tools to solve problems in bioinformatics data analysis. General programming and graph generation is taught using the object oriented language Python but some variations may occur. The relational database language SQL is taught in conjunction with database design, construction and querying. Packages that extend the capabilities of Python are explored. Grades are based on homework, quizzes, participation in class discussions, and cooperative development of a group project or homework.

What You'll Do

• Teach all or part of an introductory graduate-level programming course with a focus on bioinformatics data analysis and applications. Integrate lectures and hands-on laboratory sessions. Develop didactic material for real-life applications. Annually update as the field evolves. Participate in teaching several lectures in existing introductory graduate bioinformatics courses. Prepare, update, and present lectures on bioinformatics and genomic data analysis topics, with appropriate biological background. Develop and manage bioinformatics laboratory sessions.
• Hold office hours to assist students and advise students on career opportunities.
• Attend Bioinformatics graduate program training meetings.
• Participate and plan in the graduate program's activities to support students training and well-being.

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.

Required Qualifications*

A successful candidate will have expertise in either Python or R programming and also be comfortable working from the command line. Master's degree in Biostatistics, Statistics or Bioinformatics or a related field is required. A PhD degree will be considered as a plus. Relevant teaching experience and evidence of teaching excellence are desirable. Candidates will be evaluated based on submitted CV, teaching evaluations, and relevant recommendations.

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.