Summary

This position will provide data analytics support to experimental teams including data pre-processing, development of machine learning models using Python/Scikit Learn, assist with data analysis and visualization using established data science techniques.  This position will also support laboratory robotics including liquid handling systems to develop and run liquid handling protocols.  This position will also manage the laboratory code repository in Gitlab and will develop software tools to support our experimental needs in image processing and data analytics.

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

Responsibilities*

• Coordinate with experimental teams to assist with data analysis.
• Train and evaluate machine learning models on laboratory generated data sets.
• Develop software packages/tools for laboratory image analysis
• Supervise the use of the Opentrons OT-2 robotic liquid handler and assist with the development of protocols.
• Perform basic laboratory duties including receiving packages, storage of reagents and assistance with laboratory inventory.

Required Qualifications*

• Experience with OpenAI AutoML, Scikit learn and image analysis.
• Experience with liquid handling robots.
• Fluent in Python and package management in Gitla.

Intermediate level:

• High school diploma or Associate's degree and 1 to 3 years experience.

Associate level: 

• High school diploma or Associate's degree and 1 year experience.

Desired Qualifications*

• Bachelors of Science in computer science or software engineering.
• Experience in working in a biochemistry wet-lab.

Work Schedule

40-hours per week, in person to facilitate experiments and data analysis by supporting experimental teams.

Underfill Statement

This position may be underfilled at a lower classification depending on the qualifications of the selected candidate.

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 one booster when eligible, are required for all University of Michigan students, faculty and staff across all campuses, including Michigan Medicine.  This includes those working remotely and temporary workers.   More information on this new policy is available on the U-M Health Response website or the UM-Dearborn and UM-Flint websites.