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?  Does tracking down hard to find data make you giddy like when you were a kid at the toy store?  Do we ever have a position for you!  We are in search of a Senior Data Engineer who can wrangle complicated data and prepare data to be used by our Data Scientists to create predictive analytics.

This position offers a unique opportunity in the areas of data science and analytics at the Weil Institute for Critical Care Research and Innovation (Weil) within Michigan Medicine’s Department of Emergency Medicine. Research in our center focuses on developing clinical decision support systems and  real-time analytics for developing and translating advanced data science into critical care. Applicants will be responsible for accessing, gathering, processing, and staging data from multiple locations and multiple customers.   

We are looking for an ambitious, talented, and self-motivated individual with an interest in solving problems and learning new skills. The person filling this role will have the opportunity to get involved in a multitude of various clinical applications that utilize various types of data such as structured medical data, unstructured clinical notes, medical images and time series data as well as data obtained by new medical devices and wearables.

This role requires active collaboration with our Data Science team as well as with other clinical collaborators within Michigan Medicine and in other institutes, depending on project needs. This collaboration will include requirements gathering to ensure we fully understand exactly what data we are looking for and the formats that are required. 

Additional responsibilities include:

• Manage, structure and wrangle clinical data from various databases (structured and unstructured) for analytics consumption. This includes working with electronic health records, radiology images, bedside waveforms and other modalities of data.
• Leverage software to process data and prepare it for machine learning (ML) analysis
• Monitor and troubleshoot data infrastructure and ML platforms
• Communicate clearly and consult with our multi-disciplinary team of scientists, developers, and clinicians

  Are you wicked smart?  Does tracking down hard to find data make you giddy like when you were a kid at the toy store?  Do we ever have a position for you!  We are in search of a Senior Data Engineer who can wrangle complicated data and prepare data to be used by our Data Scientists to create predictive analytics.

   

  This position offers a unique opportunity in the areas of data science and analytics at the Weil Institute for Critical Care Research and Innovation (Weil) within Michigan Medicine’s Department of Emergency Medicine. Research in our center focuses on developing clinical decision support systems and  real-time analytics for developing and translating advanced data science into critical care. Applicants will be responsible for accessing, gathering, processing, and staging data from multiple locations and multiple customers.   

   

  We are looking for an ambitious, talented, and self-motivated individual with an interest in solving problems and learning new skills. The person filling this role will have the opportunity to get involved in a multitude of various clinical applications that utilize various types of data such as structured medical data, unstructured clinical notes, medical images and time series data as well as data obtained by new medical devices and wearables.

   

  This role requires active collaboration with our Data Science team as well as with other clinical collaborators within Michigan Medicine and in other institutes, depending on project needs. This collaboration will include requirements gathering to ensure we fully understand exactly what data we are looking for and the formats that are required. 

Additional responsibilities include:

• Manage, structure and wrangle clinical data from various databases (structured and unstructured) for analytics consumption. This includes working with electronic health records, radiology images, bedside waveforms and other modalities of data.
• Leverage software to process data and prepare it for machine learning (ML) analysis
• Monitor and troubleshoot data infrastructure and ML platforms
• Communicate clearly and consult with our multi-disciplinary team of scientists, developers, and clinicians

Data Engineer Senior requirements:

The Weil Institute Data Engineer Senior must have a bachelor’s degree or equivalent experience with a minimum of 7 years of progressive data wrangling experience.

Data Engineer Intermediate requirements:

The Weil Institute Data Engineer Intermediate must have a bachelor’s degree or equivalent experience with a minimum of 5 years of progressive data wrangling experience.

In additional to the above requirements, candidates must also possess the following qualifications:

REQUIRED QUALIFICATIONS (Senior Level)

• B.S. Degree in Engineering, Computer Science, Data Science, Biomedical Informatics, Applied Mathematics, Statistics, or similar fields
• Demonstrated technical knowledge of commonly used data science packages including numpy, pandas, scikit-learn, Tensorflow, and Keras.
• Proficiency using relevant tools (Python, R, MATLAB, Jupyter Notebooks, SQL Server, MySQL, AWS)
• Familiarity with ML concepts (supervised and unsupervised learning, deep learning)
• Knowledge of commonly used computer science concepts such as unit testing, git, and multiprocessing/threading.
• 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
• Passion for data-driven results and customer initiatives
• 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.
• Confident teaching and coaching abilities

• Clarity Proficiency/Certificate
• Familiarity with Electronic Health Records (EHR) data

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.