Research Fellow, PGY0 (Wang) at Partner's Healthcare in Boston, Massachusetts

Job Description:

Site: Massachusetts Eye and Ear Infirmary


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
A postdoctoral position is available in Harvard Ophthalmology Artificial Intelligence (AI) Lab ( https://ophai.hms.harvard.edu) under the supervision of Dr. Mengyu Wang ( https://ophai.hms.harvard.edu/team/dr-wang/) at Schepens Eye Research Institute of Massachusetts Eye and Ear at Harvard Medical School. Dr. Mengyu Wang is Co-Director of Harvard Ophthalmology AI Lab and an Affiliate Faculty of Kempner Institute for the Study of Natural and Artificial Intelligence at Harvard University, Broad Institute of MIT and Harvard, Harvard Data Science Initiative at Harvard University, and Massachusetts General Hospital at Harvard Medical School. The start date is flexible, with a preference for candidates capable of starting in January or February 2025. The initial appointment will be for one year with the possibility of extension. Review of applications will begin immediately and will continue until the position is filled. The postdoc will conduct research in two areas. The first area is generative AI and large language models for general applications. The second area is AI's applications in medicine, including medical imaging, genetics, and AI-powered smart glasses and assistive robots for individuals with visual impairments. The postdoc will have access to abundant resources for education, career development and research both from the Harvard hospital campus and Harvard University campus. More than half of our postdocs secured a faculty position after their time in our lab. ESSENTIAL FUNCTIONS: • Developing statistical and machine learning models to analyze eye-related data • Assisting with exporting and preprocessing data • Writing manuscripts • Assisting with grant applications • Co-mentoring research assistants and interns • Other duties as assigned.
The successful applicant will: • Will be required to possess a PhD or MD prior to starting work, preferably with a background in computer science, mathematics, computational science, statistics, machine learning, artificial intelligence, deep learning, computer vision, large language model, image processing, biomedical engineering, bioinformatics, visual science and ophthalmology or a related field.



Qualifications


The successful applicant will: • Will be required to possess a PhD or MD prior to starting work, preferably with a background in computer science, mathematics, computational science, statistics, machine learning, artificial intelligence, deep learning, computer vision, large language model, image processing, biomedical engineering, bioinformatics, visual science and ophthalmology or a related field. Fluency in written and spoken English is essential. • have strong programming skills (Python, R, MATLAB, C++, etc.) and in-depth understanding of statistics and machine learning. Experience with Linux clusters is a plus. • have a strong and productive publication record. • have a strong work ethic and time management skills along with the ability to work independently and within a multidisciplinary team as required. WORKING CONDITIONS: The postdoctoral fellow will work in the office located at 20 Staniford Street, Boston, MA, 02114. Remote work is allowed. Computers and office space will be provided by the principal investigator Dr. Mengyu Wang to the postdoctoral fellow to perform the research work. PHYSICAL REQUIREMENTS: None. HIPAA Privacy Training and Sanctions All employees who have access to health information whose confidentiality is protected by the HIPAA Privacy Rule are required by the Rule to receive training so that they have an understanding and knowledge of the Privacy Rule that corresponds to their job responsibilities and of the group health plan's policies and procedures that impact on their job duties. Training on the requirements of the HIPAA Privacy Rule and the plan's health information policies and procedures under the direction of the institution's privacy officer is a pre-requisite for this position. Employees who violate the requirements of the HIPAA Privacy Rule will be subject to discipline, up to and including termination.



Additional Job Details (if applicable)


Additional Job Description



Remote Type


Hybrid



Work Location


20 Staniford Street



Scheduled Weekly Hours


40



Employee Type


Regular



Work Shift


Day (United States of America)



EEO Statement:


Massachusetts Eye and Ear Infirmary 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.