Temporary Job, Research, Newborn Medicine
Temporary Job, Research, Newborn Medicine
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Job Description
Mass General Brigham relies on a wide range of professionals including doctors nurses business people tech experts researchers and systems analysts to advance our mission. As a not-for-profit we support patient care research teaching and community service striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham.
Job Summary
The internship program focuses on hands-on modeling/AI techniques to predict critical clinical indicators using noninvasively collected physiological waveforms. The data comprises multi-modal multi-channel vitals recorded in neonatal intensive care units encompassing modalities ranging from heart rate variability to cerebral hemodynamics. Interns will have the opportunity to develop advanced deep learning models such as self-attention transformers while also applying established methods such as CNNs and LSTMs to analyze complex finely sampled (i.e. 30-300 Hz) physiological data.Qualifications
Key Duties Expectations and Learning Experiences:
Data Acquisition & Monitoring: Participate in bedside patient monitoring using wearable sensors to collect physiological waveforms.
Algorithm Development: Design and implement signal cleaning and feature extraction algorithms for multi-modal vitals including arterial blood pressure waveforms and cerebral near-infrared spectroscopy.
Model Enhancement: Develop and integrate self-attention transformers into CNN-based models to improve the performance of noninvasive estimations such as arterial blood pressure.
Optimization Frameworks: Develop automated parameter optimization pipelines to refine deep learning models.
Database & Tool Creation: Build computational tools for consolidating engineering model outputs and metadata including patient clinical outcomes.
Research & Communication: Engage in scientific presentation writing and publication efforts.
Collaboration: Work within multidisciplinary teams of MDs Registered/Research Nurses and Engineers to enhance research and modeling strategies.
Required Technical Skills:
Strong interpersonal and communication skills
Familiarity with bio-signals and physiological systems
Experience in time series data analysis
Proficiency in machine learning and/or deep learning
We prefer a MATLAB user but Python can be considered.
Qualifications
Bachelors degree required.
Currently enrolled in Masters or PhD program.
Additional Job Details (if applicable)
Remote Type
Work Location
Scheduled Weekly Hours
Employee Type
Work Shift
EEO Statement:
Mass General Brigham Competency Framework
At Mass General Brigham our competency framework defines what effective leadership looks like by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance make hiring decisions identify development needs mobilize employees across our system and establish a strong talent pipeline.
Employment Type
Part-Time
