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.

The Department of Pathology at Michigan Medicine (University of Michigan) is seeking a Full-Stack Software Engineer in the Division of Diagnostic Genetics & Genomics (DGG) to support its dual missions of clinical testing and genomics research.

You will work on innovative projects that enhance the delivery of precision medicine at scale, and build software applications that handle vast amounts of data from comprehensive genomic profiling and high-throughput sequencing. You will join a team of researchers, bioinformaticians, and clinicians, with a goal to build the informatics infrastructure in support of genomic medicine at U-M. We are seeking ambitious and motivated individuals to bring new genomic capabilities from concept to production, tackling engineering challenges at both the analytics and display layers. This position offers the chance to develop and maintain high-impact applications, gaining hands-on experience in full-stack development, bioinformatics, and cloud computing. If you?re excited about making a real difference in healthcare through technology.

This opportunity is perfect for software engineers aiming to further their expertise in data engineering, machine learning, and application development, as well as exposure to human and cancer genomics. In this role you will become the data infrastructure lead for a research project focusing on building data resources to support a national rare cancer genomics platform.

Michigan Medicine, located in the vibrant city of Ann Arbor, is a world-renowned academic medical center and healthcare provider affiliated with the University of Michigan. As an employer, Michigan Medicine offers a dynamic and inclusive work environment, fostering innovation, excellence, and collaboration across various disciplines. Employees benefit from access to cutting-edge research, professional development opportunities, and an unwavering commitment to improving patient care. The city's lively cultural scene, top-rated schools, and picturesque surroundings contribute to an exceptional quality of life. Ann Arbor was recently ranked #1 on Forbes list of the 10 Most Educated Cities, #6 on USA Today?s list of best cities for well- being, and #13 on Livability.com list of the 100 best cities in which to live. 

• Develop and support a range of genomics software applications, including data processing pipelines and web frontends.
• Focus on full-stack development, with an emphasis on data engineering and responsive front-end interfaces.
• Transition existing and new workloads from on-prem infrastructure to major cloud providers (Azure, GCP, AWS).
• Develop and incorporate machine learning (ML) and artificial intelligence (AI) technologies into genomics applications to improve their utility and performance.
• Collaborate with cross-functional teams to deliver user-friendly solutions.
• Promote best practices in software development, participate in code reviews, and write documentation to support an agile development cycle at the DGG.

• A passion for learning and a willingness to take on new challenges.
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.
• Excellent communication skills, attention to detail, and demonstrated ability to work as part of a diverse team.
• Can do attitude with strong independent problem-solving skills.
• Proficiency in Python and experience with full-stack development (front-end and back-end).
• Familiarity with HTML, CSS, JavaScript, and frameworks like React, Angular, or Vue.js.
• Experience with version control using Git and team-based software development.
• One to two years systems analysis/programming activities in a business environment.
• Requires frequent standing, walking, sitting for long periods of time.

• Interests at the intersection of healthcare, big data, and machine learning
• Familiarity with data engineering concepts.
• Basic understanding of cloud services (Azure, GCP, AWS).
• Experience with RESTful APIs and Python back-end frameworks.
• Knowledge of database systems (SQL Server, Postgres) and query optimization.

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.

Interested candidates should apply directly to this posting and submit their CV and three (3) references as well as any additional questions to Marcin Cieslik, Ph.D., mcieslik@med.umich.edu.

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.

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.

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

About University of Michigan - Ann Arbor

A great university is made so by its faculty and staff, and Michigan is recognized as one of the best universities to work for in the country. The Michigan culture is known for engaging faculty and staff in all facets of the university to create a workplace that is vibrant and stimulating.For two consecutive years, the Chronicle of Higher Education has placed U-M in its "Great Colleges to Work For" survey. In particular, the university earns high marks for strong relations between faculty and administrators, a collaborative system of governance, strong pay and benefits, and a healthy work/life balance.

Connections working at University of Michigan - Ann Arbor