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.

Equally rewarding and demanding, this is a non-traditional position where the score of knowledge and responsibility exceed typical Research Implementation Scientist. Enthusiasm for learning, problem solving, entrepreneurship, and a self-starter personality are key traits for success at Precision Health. Our Research Implementation Scientists work with researchers, technical teams, and clinical champions to define, organize, manage, and facilitate the deployment of AI projects into Michigan Medicine. The ability to think analytically, problem solve, work as part of a close-knit team, and a strong interest in getting work done is required of anyone taking on this role.

Prospectively implementing AI and digital health models is fraught with challenges, and results in a ?translational gap? between retrospective research and clinical use. The role of a Research Implementation Scientist is to facilitate researchers and their models through the many implementation services offered by Digital Health Innovation, including initial consultation, prospective integration, workflow integration, and clinical impact monitoring. The Scientist is also responsible for working alongside cross-functional teams including researchers, clinicians, Implementation Engineers, and MLOps across the university to develop best practices and procedures for model implementation and monitoring. Because of their expertise, our Research Implementation Scientists are the `go to? people for all questions pertaining to their projects and associated research.

Precision Health was launched as a Presidential Initiative at the University of Michigan in 2018. Since its initial founding, Precision Health has expanded its member services to include a de-identified database of over 5,000,000 patients, computational support including PHI compliant data processing and data storage, and the deployment of models for clinical testing.

We are committed to finding research partners and solutions to help push digital health projects from the bench to the bedside. To do this, Precision Health brings together integrative teams of world-class U-M scientists, clinicians, and engineers to develop and deploy cutting-edge digital health solutions that improve people's health.

The core responsibilities of Precision Health Senior Project Managers can be grouped into the following categories: 

• Solving complex technical issues: We work closely with dynamic and cross-functional teams including DataOps, MLOps, Model Deployment, and Clinical Integration. All of these groups have various technical needs and deliverables in our projects. It's important that the person in this role can speak to the technologies used by these groups and ask the right questions to help solve problems when they arise.
• Streamlining processes: The world of AI and digital health is moving quickly. The way that we develop and deploy applicable research is changing as well. Our Senior Project Managers are  adept at developing and documenting new processes to ensure that we are delivering our work as effectively and efficiently as possible. 
• Leading cross-functional teams: Our diverse project teams include Researchers, Data Operations (DataOps), Machine Learning Operations (MLOps), Data Scientists, Clinicians, and governance committees. To keep these teams on track, our Senior Project managers are responsible for creating project timelines, tracking measurable progress against timelines, identifying critical paths, alerting leadership of any issues that need correction, getting additional resources when needed, and communicating status to the leadership team.
• Additional responsibilities include: 
  • Managing projects from concept through delivery in agile environments
  • Working with with cross-functional teams to prototype applications and tools 
  • Actively participating in discussions and decisions made by the team. We rely on each other and hold each other accountable 
  • Reporting projects updates, milestones, and opportunities to our leadership teams
  • Determine and document requirements 
  • Estimate and adjust stories and sprints

• The Precision Health Research Implementation Scientist must have a Master?s degree in Health Informatics with a minimum of 5 years of progressive AI research experience
• Experience developing predictive analytics for clinical purposes in a scientific research department
• Familiarity with scientific research methodologies and practices
• Hands-on experience integrating analytic tools into a clinical setting
• Knowledge of Agile development methodologies
• Demonstrated ability to work with a cross-functional team to rapidly produce prototypes and iterations
• Demonstrated experience working with user experience projects, A/B testing, focus groups, contextual inquiry, contextual analysis, and/or usability testing
• Excellent written and oral communication skills
• Quantitative analytical abilities
• Strong organizational skills
• Excellent technical skills

• Familiarity with EPIC

Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes.

Note: Remote or Hybrid work arrangement options are available for this position.

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.