Open Positions

JOB DESCRIPTION

Postdoctoral Research Fellowship - Cognitive Engineering in Healthcare / STRATUS Center for Medical Simulation / BWH Department of Emergency Medicine

Application Deadline:  October 31, 2020

 

Online submission preferred:

Please email all materials to the Fellowship Director, Roger Dias, MD, PhD, MBA at rdias@bwh.harvard.edu

 

Description

The Neil and Elise Wallace STRATUS Center for Medical Simulation is committed to advancing medical education, patient safety, and healthcare outcomes through cutting edge application of medical simulation technologies supported by innovative curricula, contemporary educational methodologies, continuous improvement, and rigorous, multidisciplinary research.

At STRATUS, the Human Factors and Cognitive Engineering lab, led by Dr. Roger Dias, MD, PhD, MBA, brings together a multidisciplinary team of clinicians, engineers, psychologists, computer scientists and educators, including collaborations with several scientists and institutions, nationally and internationally. The core mission of our research lab involves the use of cutting-edge technologies to understand and improve clinicians’ performance, with the ultimate goal of enhancing patient safety and improving clinical outcomes. Our projects have been funded by NASA, NIH, and others to use advanced methodologies in human performance research, such as machine learning, artificial intelligence, virtual and augmented reality, and digital biomarkers captured through wearable physiological sensors.

The Postdoctoral Fellowship in Healthcare Cognitive Engineering is intended for recent graduates of doctoral programs in computer science or engineering with interests in applying artificial intelligence, machine learning and data science to measure and support human performance during patient care in complex environments, such as surgery, emergency medicine and space missions. The program is ideal for early career scientists seeking additional experience in the healthcare field, as well as opportunities to apply digital technologies and data science to improve patient care and safety. The research fellow will be mentored by a multidisciplinary team of experts allowing her/him to gain extensive knowledge and experience in diverse research areas including medicine, human factors, psychology, cognitive science, behavioral sciences and aerospace science.

The successful candidate will conduct research within the emerging field of cognitive engineering, applying advanced data analytics, AI and machine learning methods. The research fellow will build large multi-source databases that includes time series physiological data, demographics, behavioral and psychological assessments, video, audio and clinical performance outcomes. The fellow will also develop predictive models for assessment of clinician performance and real-time clinical decision support.

 

Qualifications

All applicants must have a PhD or ScD in computer science, software engineering or a related engineering field, with extensive knowledge, skills and demonstrated experience in artificial intelligence and machine learning techniques, including deep learning. These are preferred qualifications:

  • Proficiency in Python and/or R and Java and/or C++
  • Familiar with signal processing and time series analysis
  • Experience with SQL databases
  • Familiar with AWS cloud computing services (e.g. S3, Redshift, Kinesis)
  • Experience with VR/AR/MR platforms (e.g. Unity, Unreal)

 

Salary and Benefits

The selected candidate will be appointed for two years, with the opportunity to renew the

appointment for a third and/or fourth year pending performance review and funding. Salary will be commensurate with experience, based on BWH and NIH guidelines for postdoctoral trainees. Benefits

include comprehensive health insurance, optional dental, vision, and retirement plans, and

reimbursement for conference travel related to fellowship projects. BWH is a Harvard Affiliated

Teaching Hospital, and the research fellow with be eligible for appointment at Harvard Medical School.

 

 The following items are considered in the application process:

1. Current CV

2. Recent writing sample (peer reviewed manuscript or pre-print)

3. Candidates selected for interview will be asked to submit two letters of recommendation

(one from doctoral advisor or thesis committee member)

 

Application materials & queries should be emailed to:

Roger Dias, MD, PhD, MBA at rdias@bwh.harvard.edu

Director of Research & Innovation

Instructor in Emergency Medicine, Harvard Medical School

 

EEO Statement

Brigham and Women’s Hospital is an Equal Opportunity Employer. All qualified applicants will

receive consideration for employment without regard to race, color, religion, creed, sex, sexual

orientation, gender identity, national origin, ancestry, age, veteran status, disability unrelated to job

requirements, genetic information, military service, or other protected status.

Primary Location: MA-Boston-BWH Boston Main Campus

Work Locations: BWH Boston Main Campus 75 Francis St Boston 02115

Job: MD/PHD/Fellows/ PostDocs

Organization: Brigham & Women's Hospital (BWH)

Schedule: Full-time

Standard Hours: 40

Shift: Day Job

Employee Status: Regular

Recruiting Department: BWH Emergency Medicine