Temporary Job, Research, Newborn Medicine

Site: The Brigham and Women’s Hospital, Inc.

 

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

Onsite

 

Work Location

20 Shattuck Street

 

Scheduled Weekly Hours

0

 

Employee Type

Per Diem

 

Work Shift

Day (United States of America)

 

EEO Statement:

The Brigham and Women’s Hospital, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran’s Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at (857)-282-7642.

 

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.