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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.

Summary

PH Lead Data Scientist 
The Precision Health Lead Data Scientist will lead the integration of clinical, genetic, financial and other related datasets to develop and deploy models that enable innovative delivery of care with the strategic goal of improving patient outcomes and population health. The scientist will employ data science methods, machine learning (including deep learning) and traditional statistical techniques to address clinical quality initiatives and organizational research needs. The Data Scientist will develop, validate, deploy and monitor risk prediction models to make them available to users within the electronic health record. The Data Scientist will also work with key stakeholders to develop local guidance around important issues to the community, such as algorithmic fairness. Key stakeholders and customers of this work include Precision Health’s work stream leadership members, multidisciplinary clinical care providers and researchers. This role will foster collaborations within the Clinical and Revenue Cycle (CRC) applications teams and the Enterprise Data and Information Services (EDIS) teams within Health Information Technology & Services (HITS).    

Supervision Received:
This position will report to the Director of Analytics within the Enterprise Data and Information Services (EDIS) Division of Health Information Technology & Services (HITS).  This position will have a dual reporting relationship to the Associate Director of Precision Health Implementation. 

Responsibilities*

Application of Data Science and AI (60%)

• Research, design, develop and deploy AI and advanced machine learning applications to support Precision Health’s predictive analytics initiatives
• Develop processes and tools to monitor and analyze performance. Application of statistical rigor and machine learning to develop, test and monitor performance of models
• Propose novel solutions to issues that arise, evaluate the feasibility of the solution, adapt, and refine models as applicable
• Collaborate closely with Health Implementation’s work stream leads, clinicians, researchers, and IT in a multidisciplinary environment to facilitate deployment of implementation and innovative solutions
• Manage and administer the design and development of data structures and data extracts to support comprehensive data collection and feature extraction for complex analysis
• Participate in industry reference groups and strategic assessments to identify and contribute to current/emerging issues such as algorithmic fairness, and contribute to defining high impact business intelligence solutions with a focus on quantitative methods, modeling and analytical techniques

Business Intelligence Development (40%) 

• Lead efforts for data acquisition, access analysis, archive, recovery and load strategy design and implementation
• Run complex queries (i.e. SQL) and existing automation to correlate disparate data 
• Assist with the design of databases for data analytics
• Harmonize new data development ensuring consistency and integration with existing warehouse structure
• Review business requests for data and data usage, researches data sources for more efficient data feeds
• Maintain fluency in existing and emerging data science technologies 

Required Qualifications*

• Bachelors degree in quantitative field
• 12+ years’ experience in data querying, data analytics, or data modeling 
• Knowledge of the data science stack in Python (e.g., pandas, scikit-learn) is required

Desired Qualifications*

• Master's degree in Computer Science or Data Science or related field (Informatics, Statistics) is desirable
• Knowledge of R (e.g., Tidyverse and shiny packages) is desirable
• Experience with SQL is desirable
• Medical and/or health system experience is desirable
• One or more Epic Clarity Data Model certifications preferred and/or familiarity with Epic Cognitive Computing Platform (ECCP) tool
• Experience with design and build of relational databases 
• Experience with data acquisition and multifaceted data pipelines 
• Experience with Epic application build is preferred
• Commitment to Diversity, Equity and Inclusion 
• Strong organizational, presentation and written communication skills are required
• Excellent communication and problem-solving skills working with teams of individuals from diverse disciplines is required

Work Locations

This position is being made available with the ability for you to negotiate alternative work schedules and remote/on-site options to suit your work-life balance. Non-Michigan residents should inquire about potential employment while working remotely in a state other than Michigan.   Apply to be part of a strong team that partners with our institution, community, and each other.   

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 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.