Job Description

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? Do outer joins and random forests 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 Scientist/Machine Learning (ML) Specialist to develop predictive analytics that will help improve the treatment of patients in critical care areas such as neurologic emergencies, sepsis, cardiac arrest, and combat casualty care.

This position offers a unique opportunity in the areas of data science and analytics at the Weil Institute For Critical Care Research and Innovation within Michigan Medicine's Department of Emergency Medicine. Research in our institute focuses on developing clinical decision support systems and a real-time analytics platform for developing and translating advanced data science into critical care.

We are looking for an ambitious, talented, and self-motivated individual with an interest in solving problems as an analytical thinker. Therefore, the candidate is expected to be a dynamic problem solver who is not afraid to "fail fast" as we look to develop the best analytics possible.

This role requires active collaboration with our Data Science team as well as with other clinical collaborators within the school and in other institutes. This collaboration will include requirements gathering to ensure we fully understand exactly what "done" looks like before we start the development of a project.

• Develop cutting edge machine learning algorithms for various parts of the online system including perception, planning, and forecasting
• Identify data sets needed to develop analytics through consultation and collaboration with faculty, researchers, clinicians, and team members.
• Translate customer use case requirements into Weil solution designs, demos, and project proposals
• Communicate clearly and consult with our multi-disciplinary team of scientists, developers, and clinicians.
• Be an expert on the latest machine learning techniques, methods, and research, and how each of these apply to our use cases
• Ability to manage multiple projects and assignments with a high level of autonomy and accountability for results

• Masters Degree in Engineering, Computer Science, Applied Mathematics, Statistics, Data Analytics, or Health Informatics or equivalent experience with hands-on Data Science experience in a medical research setting.
• 1-3 years professional experience
• Demonstrated technical knowledge of commonly used data science Python packages including numpy, pandas, and scikit-learn.
• Proficiency using relevant tools (Python, R, MATLAB, SQL Server, MySQL)
• 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

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.

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.

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