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Position Details

Academic Personnel

Research Assistant Professor - Healthcare Simulation Science


Position Overview


School / Campus / College: School of Medicine

Organization: Surgery

Title: Research Assistant Professor - Healthcare Simulation Science


Position Details


Position Description

The University of Washington School of Medicine, Department of Surgery’s Division of Healthcare Simulation Science (HCSS), is recruiting for a position with a research focus in the development of human physiology models using physics-based mathematical modelling and machine learning techniques. This is a full-time, 12-month service period (Jul 1 – Jun 30), non-tenured research track position at the rank of Research Assistant Professor for an initial term of three years. The salary and rank are commensurate with qualifications and experience, with an expected start date summer/fall 2021.

This position will function independently and collaboratively write and successfully compete for extramural funding.  This position will be expected to demonstrate leadership skills, become a Principal Investigator, and direct interprofessional research teams.

This position will be involved in the full spectrum of educational innovations and strategic projects in HCSS.  This position will propose and lead new initiatives and guide programs that have national and international significance.

All University of Washington faculty engage in teaching, research and service.

Responsibilities

  • Demonstrate passion for applying physiology engines to develop robust and realistic training tools for healthcare providers
  • Apply modeling or quantitative analysis to forecast physiologic events and patient states for educational and clinical applications;
  • Establish a core area of research that is relevant to improving the safety, quality and efficiency of healthcare;
  • Lead small and large scale research studies from start to finish with assistance from HCSS research staff;
  • Lead with the development of simulated human physiologic states using mathematical models and machine learning;
  • Disseminate findings at national conferences and through journal publications;
  • Assist with the Implementation of safety innovations in the applied setting through collaboration, both within and outside UW Medicine;
  • Serve as an internal expert in their respective research area to advise HCSS;
  • Provide instructional lectures in their area of expertise to staff, students, practicing healthcare providers, and healthcare leaders;
  • Write, review, or comment on documents, such as proposals, test plans, or procedures;
  • Train faculty in techniques or principles related to these activities;
  • Recommend changes to improve simulations, using knowledge of inadequate or harmful factors;

Qualifications

  • PhD in mathematics or another quantitative field, or foreign equivalent, required at time of application;
  • Record of research applying principles of biophysics, multi-scale modeling, mathematical modeling, and/or physiology required;

 

Instructions

Interested candidates should apply via the Interfolio link below with cover letter, CV, and contact information for four professional references.

Equal Employment Opportunity Statement

University of Washington is an affirmative action and equal opportunity employer. All
qualified applicants will receive consideration for employment without regard to race, color, creed,
religion, national origin, sex, sexual orientation, marital status, pregnancy, genetic information,
gender identity or expression, age, disability, or protected veteran status.

Apply now

The University of Washington is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.


For help signing up, accessing your account, or submitting your application, please check out Interfolio's help and support section or get in touch via email at help@interfolio.com or phone at (877)997-8807.

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