What are the responsibilities and job description for the Nezami Lab | Co-Op PhD Research Student position at Brigham and Women's Hospital?
Site: The Brigham and Women's Hospital, Inc.
At Mass General Brigham, we know it takes a surprising range of talented professionals to advance our mission—from doctors, nurses, business people and tech experts, to dedicated researchers and systems analysts. As a not-for-profit organization, Mass General Brigham is committed to supporting patient care, research, teaching, and service to the community. We place great value on being a diverse, equitable and inclusive organization as we aim to reflect the diversity of the patients we serve.
At Mass General Brigham, we believe a diverse set of backgrounds and lived experiences makes us stronger by challenging our assumptions with new perspectives that can drive revolutionary discoveries in medical innovations in research and patient care. Therefore, we invite and welcome applicants from traditionally underrepresented groups in healthcare — people of color, people with disabilities, LGBTQ community, and/or gender expansive, first and second-generation immigrants, veterans, and people from different socioeconomic backgrounds – to apply.
Summary
Job Summary
Working under the general supervision of Principal Investigator, and in accordance with established.
Does this position require Patient Care?
No
Essential Functions
Research Internship Opportunity – Nezami Lab
Brigham and Women's Hospital, Department of Surgery
Internship Duration: June–August 2025 (3 months)
Location: Boston, MA
Application Deadline: Rolling, until filled
About Nezami Lab
The Nezami Lab at Brigham and Women’s Hospital (Harvard Medical School affiliate) focuses on solving critical challenges in cardiology and cardiac surgery through an integrated approach combining AI, biomedical engineering, and translational research. We leverage techniques from reinforcement learning, computational modeling, fluid dynamics, and image processing to design, evaluate, and optimize life-support devices such as prosthetic valves, stents, and mechanical circulatory assist systems. Our lab bridges silico modeling and real-world clinical applications to inform device design, risk prediction, and treatment strategy optimization.
Internship Overview
We are seeking a highly motivated Ph.D. or advanced Master's-level research intern for Summer 2025 to join our team in applying cutting-edge AI and machine learning techniques to cardiothoracic surgical risk modeling and decision support. This role is ideal for candidates with a strong foundation in reinforcement learning, deep learning, probabilistic modeling, and a passion for applying these tools to high-impact biomedical applications.
Key Responsibilities
This is a unique opportunity to work at the intersection of AI and cardiac care, contributing to real-world translational research in one of the nation’s leading academic hospitals. Interns will gain exposure to cutting-edge biomedical AI research, guided by experts in surgery, computational modeling, and machine learning. The experience is especially valuable for those pursuing academic careers or industry roles in biomedical AI, medical robotics, or health-focused ML/AI systems.
To Apply
Please send the following materials to aramezani@bwh.harvard.edu with the subject line:
“Summer 2025 Research Internship – Nezami Lab”
Join us in shaping the future of intelligent cardiac support systems—where biomedical innovation meets advanced AI.
Physical Requirements
Additional Job Details (if applicable)
Hybrid
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 Affirmative Action Employer. By embracing diverse skills, perspectives and ideas, we choose to lead. 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.
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.
At Mass General Brigham, we know it takes a surprising range of talented professionals to advance our mission—from doctors, nurses, business people and tech experts, to dedicated researchers and systems analysts. As a not-for-profit organization, Mass General Brigham is committed to supporting patient care, research, teaching, and service to the community. We place great value on being a diverse, equitable and inclusive organization as we aim to reflect the diversity of the patients we serve.
At Mass General Brigham, we believe a diverse set of backgrounds and lived experiences makes us stronger by challenging our assumptions with new perspectives that can drive revolutionary discoveries in medical innovations in research and patient care. Therefore, we invite and welcome applicants from traditionally underrepresented groups in healthcare — people of color, people with disabilities, LGBTQ community, and/or gender expansive, first and second-generation immigrants, veterans, and people from different socioeconomic backgrounds – to apply.
Summary
Job Summary
Working under the general supervision of Principal Investigator, and in accordance with established.
Does this position require Patient Care?
No
Essential Functions
- Collects and codes data.
- Transfers collected data to code sheets.
- Prepares data for keypunching / computer input.
- Documents system changes, informing supervisor of conflicts between coding methods and protocol.
- Prepares written reports on data, as appropriate.
- Performs basic research experiments.
- Assists with analysis of experimental data using basic statistical methods.
- Performs literature searches.
- Assists with maintenance of a clean and orderly lab.
Research Internship Opportunity – Nezami Lab
Brigham and Women's Hospital, Department of Surgery
Internship Duration: June–August 2025 (3 months)
Location: Boston, MA
Application Deadline: Rolling, until filled
About Nezami Lab
The Nezami Lab at Brigham and Women’s Hospital (Harvard Medical School affiliate) focuses on solving critical challenges in cardiology and cardiac surgery through an integrated approach combining AI, biomedical engineering, and translational research. We leverage techniques from reinforcement learning, computational modeling, fluid dynamics, and image processing to design, evaluate, and optimize life-support devices such as prosthetic valves, stents, and mechanical circulatory assist systems. Our lab bridges silico modeling and real-world clinical applications to inform device design, risk prediction, and treatment strategy optimization.
Internship Overview
We are seeking a highly motivated Ph.D. or advanced Master's-level research intern for Summer 2025 to join our team in applying cutting-edge AI and machine learning techniques to cardiothoracic surgical risk modeling and decision support. This role is ideal for candidates with a strong foundation in reinforcement learning, deep learning, probabilistic modeling, and a passion for applying these tools to high-impact biomedical applications.
Key Responsibilities
- Develop and evaluate AI/ML models for analyzing cardiovascular data streams, including physiological signals and patient monitoring records.
- Apply reinforcement learning (RL) and Bayesian inference to optimize clinical decision-making under uncertainty, particularly for predicting adverse outcomes following cardiac surgery.
- Contribute to the development of time-series and physics-informed neural networks for hemodynamic simulations and cardiac device modeling.
- Integrate multimodal data (e.g., EHR, imaging, waveform data) to build predictive models for patient stratification and surgical planning.
- Collaborate with a multidisciplinary team of surgeons, data scientists, and engineers to translate research into clinical applications.
- Support manuscript preparation, conference submissions, and internal lab presentations.
- Strong coding skills in Python, with hands-on experience using PyTorch, TensorFlow, and scientific computing libraries (NumPy, SciPy, scikit-learn).
- Background in deep reinforcement learning, Bayesian statistics, and decision-making under uncertainty (e.g., bandits, MDPs).
- Familiarity with signal processing, medical imaging, or biomedical datasets (e.g., ECG, CT, MRI, EHR).
- Experience with transformers, LSTMs, or probabilistic modeling frameworks for time-series prediction or sequential decision tasks.
- Exposure to causal inference, Gaussian processes, or Bayesian optimization is a plus.
- Ability to work independently, communicate across disciplines, and contribute to collaborative research in a fast-paced environment.
This is a unique opportunity to work at the intersection of AI and cardiac care, contributing to real-world translational research in one of the nation’s leading academic hospitals. Interns will gain exposure to cutting-edge biomedical AI research, guided by experts in surgery, computational modeling, and machine learning. The experience is especially valuable for those pursuing academic careers or industry roles in biomedical AI, medical robotics, or health-focused ML/AI systems.
To Apply
Please send the following materials to aramezani@bwh.harvard.edu with the subject line:
“Summer 2025 Research Internship – Nezami Lab”
- Your CV or resume, highlighting relevant technical and research experience
- A brief cover letter (1 page max) summarizing your interest in the position and alignment with Nezami Lab’s mission
- (Optional) A link to your GitHub, Google Scholar, or personal website/portfolio
Join us in shaping the future of intelligent cardiac support systems—where biomedical innovation meets advanced AI.
Physical Requirements
Additional Job Details (if applicable)
- Standing Frequently (34-66%)
- Walking Frequently (34-66%)
- Sitting Occasionally (3-33%)
- Lifting Frequently (34-66%) 35lbs (w/assisted device)
- Carrying Frequently (34-66%) 20lbs - 35lbs
- Pushing Occasionally (3-33%)
- Pulling Occasionally (3-33%)
- Climbing Rarely (Less than 2%)
- Balancing Frequently (34-66%)
- Stooping Occasionally (3-33%)
- Kneeling Occasionally (3-33%)
- Crouching Occasionally (3-33%)
- Crawling Rarely (Less than 2%)
- Reaching Frequently (34-66%)
- Gross Manipulation (Handling) Frequently (34-66%)
- Fine Manipulation (Fingering) Frequently (34-66%)
- Feeling Constantly (67-100%)
- Foot Use Rarely (Less than 2%)
- Vision - Far Constantly (67-100%)
- Vision - Near Constantly (67-100%)
- Talking Constantly (67-100%)
- Hearing Constantly (67-100%)
Hybrid
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 Affirmative Action Employer. By embracing diverse skills, perspectives and ideas, we choose to lead. 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.
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.
