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.
Are you wicked smart? Are you a tinkerer at heart who likes to work on the cutting edge and push the bounds of what is possible? The Weil Institute for Critical Care Research and Innovation, within Michigan Medicine’s Department of Emergency Medicine, is in search of a Senior Software Engineer to join our DataOps team to help build next-generation tooling, using industry best practices, to develop real-time data pipelines, integrate machine learning models into University of Michigan’s EHR system, and monitor the performance of our predictive analytics.
This position offers a unique opportunity to work hand-in-hand with our Data Science team and clinical collaborators, within the school and other institutes, to help them get the data they need to build their models and to get those models into a production environment and into the hands of clinicians. Unlike traditional research teams, the Weil Institute is focused on operating like a startup and getting products to market in order to ensure that our work can benefit patients sooner rather than later.
As a member of the DataOps team, you will be responsible for managing data pipelines for large sets of PHI data including data extraction, transformation, cataloging, monitoring, integrity, administration, and security. These sets of data include structured EHR data, waveforms from bedside monitors, radiological images, clinician notes (NLP), ventilator data, as well as all supporting data sets and any future data sets that may be required. In addition to this, you will be working collaboratively with other members of the team to build out frameworks and infrastructure to support the needs of each of our data pipelines with as much automation as possible.
Success in this role requires an ambitious and self-motivated individual capable of identifying areas for improvement, designing solutions, and prioritizing work to ensure that we are meeting our goals. This often involves learning new languages, technologies, and skills in order to ensure that we are delivering the best solutions possible. An inquisitive individual with a strong desire for continuous improvement and always taking the next best step is a strong fit at the Weil Institute.
Additional responsibilities include:
Build and improve tooling to automate data pulls
Transform ad-hoc data pulls into real-time pipelines
Administer infrastructure to support data and applications
Implement monitoring solutions to ensure data integrity and pipelines are operational
Build and integrate data cataloging into pipelines to ensure data security and enable future automation
Communicate clearly and consult with our multi-disciplinary team of scientists, developers, and clinicians
Actively participating in discussions and decisions made by the team. We rely on each other and hold each other accountable
Determine and document requirements
Estimate and adjust stories and sprints
Investigate new technologies and share with the team
The Weil Institute Software Engineer Senior must have a bachelor’s degree in Engineering, Computer Science, Applied Mathematics, Statistics, or Data Analytics or equivalent experience with a minimum of 5 years of progressive software development experience in a data-driven environment.
The Weil Institute Software Engineer Intermediate must have a bachelor’s degree in Engineering, Computer Science, Applied Mathematics, Statistics, or Data Analytics or equivalent experience with a minimum of 2 years of progressive software development experience in a data-driven environment.
In additional to the above requirements, candidates must also possess the following qualifications::
Proficiency using relevant tools (Python, SQL, Docker)
Experience working in a Unix environment
Familiarity with ML concepts (supervised learning and deep learning)
Knowledge of commonly used software development concepts such as unit testing, git, publish-subscribe architecture, CI/CD, and REST interfaces
Ability to manage multiple projects and assignments with a high level of autonomy and accountability for results
Willingness to learn and quickly adjust to new tools and systems
Capable of converting ambiguous problem statements into concrete project requirements
Excellent verbal and written communication skills including the ability to communicate effectively and professionally with colleagues and stakeholders. Ability to understand and explain technical concepts to non-technical stakeholders
Familiarity with Kubernetes
Familiarity with RabbitMQ
Familiarity or experience with commonly used data science packages including numpy, pandas, scikit-learn, and tensorflow.
Experience working with big data
Experience developing CI/CD pipelines
Experience working with PHI
Epic certification for working in Clarit
This position may be underfilled at a lower classification depending on the qualifications of the selected candidate.
The Department of Emergency Medicine at Michigan Medicine is committed to creating an environment that is welcoming to all. We strive to value the unique contributions of individuals, and support a culture of inclusivity among our employees, learners and larger community. This includes supporting the development of a diverse workforce across identities such as race, ethnicity, national origin, sexual orientation, gender identity, age, citizenship, marital status, religion, language, disability, and Veteran status. We are proud to be an equal opportunity and an affirmative action employer
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.
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.
U-M COVID-19 Vaccination Policy
COVID-19 vaccinations, including boosters when eligible, are required for all University of Michigan students, faculty and staff across all campuses, including Michigan Medicine. This includes those working remotely. More information on this new policy is available on the Campus Blueprint website or the UM-Dearborn and UM-Flint websites.
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.