Nezami Co-op Student

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.

Job Summary

Dr. Nezami is looking to hire a student (who is currently enrolled in a masters program) to join his lab.
Dr. Nezami's primary expertise is in using computational methods as well as both in vitro and ex/in vivo experiments to tackle challenges in cardiology and cardiac surgery. Integrating multiple disciplines of engineering, computer science, and biomaterials, his lab at the Brigham and Woman’s Hospital of Harvard Medical School aims to achieve mechanistic understanding of several valvular and vascular diseases. Using elements of fluid dynamics, continuum mechanics, mass transport, and image processing, his team also assesses the performance and optimizes the design of assorted medical devices such as stents, prosthetic valves, endovascular implants, mechanical assist devices, and life support systems. Nezami Lab’s provably reliable tools as well provide predictive means and diagnostic tools for clinicians and regulatory officials to update clinical therapy and surgical guidelines.

We are looking for an ambitious Master's student eager to embark on an innovative journey with us. Together, we aim to revolutionize the way raw medical data is handled by developing an automated system. This system will seamlessly preprocess the data, ensuring it's primed for a myriad of medical image processing tasks as well as deep learning endeavors. The successful candidate will have the opportunity to work with a diverse range of medical imaging modalities and develop cutting-edge techniques for data preprocessing, including investigating and implementing state-of-the-art algorithms for image denoising, enhancement, and normalization, developing automated tools for data quality assessment and artifact detection, implementing data augmentation techniques to increase the robustness and generalizability of deep learning models, integrating the preprocessing pipeline with our existing deep learning frameworks and medical image processing software, and conducting comprehensive experiments to evaluate the impact of preprocessing on the performance of downstream tasks. By developing an automated preprocessing pipeline, the co-op student will contribute to the efficiency and reliability of our research, ultimately paving the way for more accurate and effective AI-powered medical applications. This project offers an excellent opportunity for the student to gain hands-on experience in medical image processing, deep learning, and software development while working alongside a team of experts in the field. It will also provide indispensable opportunity for engineering students to understand the intricacy of working with real clinical data and being trained on how to translate AI tools from desk to bedside.

Education
Enrolled in a Master's degree program

Hybrid

20 Shattuck Street

40

Temporary

Day (United States of America)

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.