Massachusetts General Hospital is an Equal Opportunity Employer. By embracing diverse skills perspectives and ideas we choose to lead. Applications fromprotected veterans and individuals with disabilities are strongly encouraged.GENERAL SUMMARY/ OVERVIEW STATEMENT: Our laboratory applies engineering computational and machine learning methods to understand brain activity and to improve the clinical care of critically ill hospitalized patients with neurological problems. A massive database of diverse clinical data that we are building is central to these efforts.Specific efforts focus on developing objective methods for predicting neurologic deterioration in critically ill intensive care unit patients using EEG and electrocorticography cerebral blood flow monitoring intracranial pressure and cardiovascular physiology. Utilizing these tools we work to create quantitative tools that predict neurological outcome and response to treatment in patients with disordered cerebral autoregulation refractory seizures cortical spreading depolarizations or cortical spreading depression and cerebral ischemia epilepsy and subarachnoid hemorrhage. Our laboratory also creates tools and infrastructure for aggregating and mining massive sets of structured and unstructured clinical data including free text reports and clinical notes.The ideal candidate will have excellent analytical and troubleshooting skills knowledge of software development methodologies and systems design and a desire to solve complex and largescale problems.
PRINCIPAL DUTIES AND RESPONSIBILITIES:Indicate key areas of responsibility major job duties special projects and key objectives for this position. These items should be evaluated throughout the year and included in the written annual evaluation. This position involves a range of opportunities including: Analysis of EEG ECoG hemodynamic neuromonitoring and other physiological time series data Software development and code management Management of a large physiological timeseries database Technical setup and handson equipment responsibilities Running clinical experiments at MGH
SKILLS/ABILITIES/COMPETENCIES REQUIRED: Must be realistic objective measurable and related to essential functions of this job. I am seeking a fulltime postdoctoral fellow or research scientist with a strong interest in applying clinical brain research and medical informatics. Applicants should possess a PhD in a relevant discipline (electronic engineering computer engineering or applied mathematics) and have established an excellent research profile in signal processing or machine learning. This position is initially available for a period of two years addition the ideal applicant should have a strong programming background (e.g. MATLAB C R) and the drive and enthusiasm to learn about clinical neuroscience by assisting in stateofthe art patientcentered research. LICENSES CERTIFICATIONS and/or REGISTRATIONS (if applicable): Specify minimum credentials and clearly indicate if preferred or required None.
EDUCATION: Specify minimum education and clearly indicate if preferred or required PhD in a relevant discipline such as statistics machine learning electronic engineering computer science or applied mathematics.
EXPERIENCE: Specify minimum creditable years of experience and clearly indicate if preferred or required A PhD or equivalent degree is required.
SUPERVISORY RESPONSIBILITY (if applicable): List the number of FTEs supervised. The candidate will work within a team of physicians clinical research coordinators and biomedical and electrical engineers and computer scientists. May share responsibility for mentoring more junior lab members.
FISCAL RESPONSIBILITY (if applicable): Indicate financial scope information i.e.: size of budget volume revenue etc.; Indicate total physician/nonphysician FTE scope The candidate will not have budgetary responsibility but will need to design projects and identify equipment for projects within a budgetary scope and in liaison with a staff assistant performing purchase orders.
WORKING CONDITIONS: Describe the conditions in which the work is performed. Work will be performed in several of the MGH Intensive Care Units and in laboratory space on the MGH campus. To apply: Contact: Eric S. Rosenthal