Site: The General Hospital Corporation

 

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.

 

Department: Anesthesia, Critical Care and Pain Med.

The salary range for this position is $$70,000 - $77,267.annually. At Mass General Brigham, we believe in recognizing and rewarding the unique value each team member brings to our organization. Our approach to determining base pay is comprehensive, and any offer extended will take into account your skills, relevant experience, if applicable, education, certifications, and other essential factors. The base pay information provided offers an estimate based on the minimum job qualifications; however, it does not encompass all elements contributing to your total compensation package.
In addition to competitive base pay, we offer comprehensive benefits, career advancement opportunities, differentials, premiums, and bonuses as applicable, and recognition programs designed to celebrate your contributions and support your professional growth. We invite you to apply, and our Talent Acquisition team will provide an overview of your potential compensation and benefits package.

 

Job Summary

To apply, please submit your CV and a letter of interest to Dr. Hao Deng (hdeng1@mgh.harvard.edu


The Department of Anesthesia, Critical Care and Pain Medicine at Massachusetts General Hospital seeks a Postdoctoral Research Fellow to develop and translate Medical AI for human neurophysiology and clinical care, with emphasis on EEG and MEG, multimodal signals that include video, voice, and biometrics, and affective computing.
Funded by a recent NIH UG3/UH3 innovation award, Dr. Deng’s team is developing an end-to-end Medical AI framework that uses multimodal machine learning and affective computing to create validated digital biomarkers and to advance device-ready tools that reshape critical care. The fellow will contribute to model design, data integration, and prospective validation, and will participate in clinical translation within ICU settings. The role involves close collaboration with clinicians, data scientists, and engineers so that research prototypes become reliable tools for bedside decision-making.
The position is available immediately and can be renewed annually. The start date is flexible, with a preference for candidates who can begin between October 2025 and January 2026. The initial appointment is for one year with the possibility of extension. Review of applications will begin immediately and will continue until the position is filled.

 

Qualifications

To apply, please submit your CV and a letter of interest to Dr. Hao Deng (hdeng1@mgh.harvard.edu

PRINCIPAL DUTIES AND RESPONSIBILITIES: 

With supervision and guidance (under PI mentorship, but with increasing independence), responsibilities of the Postdoctoral Research Fellow will include:

Algorithm R&D (primary focus): Invent and prototype machine learning models for medical time series and multimodal data (e.g., EEG/EHR/video/wearables): self-/semi-supervised learning, representation learning, sequence models (TCN/Transformer), multimodal fusion, uncertainty & calibration, domain adaptation, and active learning.

Signal processing for neuro/physio data: Build robust preprocessing and feature pipelines (artifact removal/ICA, filtering, time–frequency transforms, connectivity/graph features) and benchmarking baselines.

Model evaluation at clinical standards: Design rigorous evaluation plans (nested CV; AUROC/AUPRC; sensitivity/specificity at fixed thresholds; calibration/decision-curve analysis; subgroup/fairness slices; robustness, drift, and ablation studies).

Data engineering for research: Own data curation/QC, labeling protocols, and dataset versioning; create task definitions/labels that reflect clinical intent and minimize information leakage.

Reproducible ML: Maintain clean, well-tested code; containers and experiment tracking; model/data cards; automated training/validation scripts.

Results synthesis: Turn findings into clear figures and narratives; present at lab meetings and conferences; lead/assist manuscripts to top venues.

Collaboration & mentoring: Partner with clinicians/biostatisticians on problem framing and endpoint selection; mentor students/RAs on analysis best practices.

Grants & broader studies: Contribute preliminary analyses and methods text to grant applications; support related AI studies across the lab.

Work with coordinators/clinicians on cohort definitions, labeling, and feasibility.

Follow basic IRB/HIPAA data-handling norms within established lab workflows (no heavy RA/QA ownership).

SKILLS/ABILITIES/COMPETENCIES REQUIRED:  Must be realistic, objective, measurable and related to essential functions of this job.

A successful candidate will:

Work independently under the general guidance of the Principal Investigator.Be self-motivated, meticulous, highly organized, and detail-oriented.Demonstrate initiative and a rapid ability to learn new methods and tools.Exhibit strong analytical thinking and problem-solving skills.Possess advanced technical aptitude and data science proficiency.Communicate exceptionally well in writing and orally, as evidenced by publications and presentations.Make sound, timely, and independent decisions using good scientific judgment.Be proficient with contemporary research techniques and methodologies.Display excellent interpersonal skills and professional conduct.Thrive as a collaborative team member who works effectively across the lab.

EDUCATION:  Specify minimum education and clearly indicate if preferred or required

Possess or be on track to complete a PhD or MD with background in computer science, physics, computational science, machine learning, artificial intelligence, deep learning, computer vision, large language model, image processing, biomedical engineering, bioinformatics, visual science, biochemical engineering or a related quantitative science field.

EXPERIENCE: Specify minimum creditable years of experience and clearly indicate if preferred or required

Research experience and/or publications in computer vision, large language models (LLMs), vision science, and biomedical signal processing—especially EEG waveform analysis. (++)Experience with facial expression analysis, affective computing, and sentiment analysis. (+++)Strong interest and background in biomedicine, chemical engineering, neuroscience and clinical research, with hands-on neurophysiology analytics (EEG/EMG) experience: end-to-end processing pipelines, artifact handling, time–frequency features, source modeling, and/or deep sequence models. (++)Experience with multimodal learning (e.g., EEG + video/voice/wearables); self-supervised or foundation models; interpretability (causal/counterfactual analyses); and on-device or real-time inference. (+)Excellent scientific writing and presentation skills. (++)Software product development experience in Python. (+)

SUPERVISORY RESPONSIBILITY

Assistance guiding research technicians and trainees in the lab is expected.

WORKING CONDITIONS:

Work will be performed in a fast-paced translational research and clinical environment, requiring teamwork, collaboration, and flexibility. Must be able to work independently.

Other duties as assigned in support of the research program.

 

Additional Job Details (if applicable)

 

Remote Type

Onsite

 

Work Location

55 Fruit Street

 

EEO Statement:

The General Hospital Corporation 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.