Assistant Research Scientist


To be considered, a cover letter and resume are required.  The cover letter must be the leading page of your resume and should:

  • Specifically outline the reasons for your interest in the position and
  • Outline your particular skills and experience that directly relate to this position.

Starting salaries will vary depending upon the qualifications and experience of the selected candidate.


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 Research Faculty Data Scientist 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 University of Michigan’s Max Harry Weil Institute for Critical Care Research and Innovation. Research in our center 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.

In addition to being our go-to predictive model developer, this role will have the opportunity to be the primary lead in developing grants and to provide oversight on the projects being worked on by our team.


The U-M Max Harry Weil Institute for Critical Care Research and Innovation is one of the world’s first comprehensive research enterprises devoted to transforming critical care medicine by accelerating science and moving it from bench to bedside. To do this, the Weill Institute brings together integrative teams comprised of world-class U-M scientists, clinicians, and engineers with industry partners and funding sources to develop and deploy cutting-edge solutions that elevate the care, outcomes, and quality of life of critically ill and injured patients and their families.


  • Develop cutting edge machine learning algorithms to predict deterioration in a patient’s condition long before the deterioration is detectable
  • Identify data sets needed to develop analytics through consultation and collaboration with faculty, researchers, clinicians, and team members.
  • Translate customer use case requirements into MCIRCC 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
  • Write technical grant proposals explaining our unique innovations to a diverse audience
  • Write manuscripts to summarize research findings
  • Mentor junior team members while providing insight on the projects they are developing


  • PhD Degree in Engineering, Computer Science, Applied Mathematics, Statistics, or Data Analytics
  • Data science related publication record
  • 5+ years minimum demonstrated technical knowledge of commonly used data science Python packages including numpypandas, and scikit-learn.
  • Proficiency using relevant tools (Python, R, MATLAB, 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

In addition to the above qualifications, candidates should expect the following effort allocation:

  • Model Development (25%)
  • Innovative Research Ideas (20%)
  • Grant writing (20%)
  • Mentoring (20%)
  • Writing manuscripts to summarize work (15%)


Phil Jacokes
Managing Director
Michigan Center for Integrative Research in Critical Care (MCIRCC)
[email protected]
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