Research Fellow (M. Wang)

Mass General BrighamBoston, MassachusettsOn-siteFull-timeMid level, 2–5 yearsListed 1 hour ago

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About this role

Site: Massachusetts Eye and Ear Infirmary

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
Job Profile Summary
Summary
Will conduct independent and collaborative research, contributing to the advancement of knowledge and the development of innovative solutions. The fellow will work under the supervision of the Principal Investigator and collaborate with a team of researchers.

Does this position require Patient Care?
No

Essential Functions
-Design, plan, and execute research experiments or projects in alignment with departmental goals.

-Gather, analyze, and interpret data using appropriate statistical methods and tools.

-Conduct comprehensive literature reviews to inform research direction and methodologies.

-Prepare and publish research findings in peer-reviewed journals and present at conferences and seminars.

-Work collaboratively with faculty, students, and other researchers, contributing to a positive research environment.

-Mentor graduate and undergraduate students, providing guidance on research methodologies and techniques.

-Assist in the preparation of grant proposals and funding applications to support ongoing research.

-Prepare periodic reports and documents summarizing research progress and outcomes.

Qualifications

Education
Doctorate Related Field of Study required

Can this role accept experience in lieu of a degree?
No

Licenses and Credentials

Experience
Previous Research experience 3-5 years required

Knowledge, Skills and Abilities
- Demonstrated experience in research techniques, methods, or research areas relevant to the project.
- Proficient analytical skills, proficiency in statistical software, and excellent written and verbal communication skills.
- Ability to work independently as well as collaboratively within a team.
- Good interpersonal and communication skills.

Salary: $71,750.00 - $73,544.00/Annual

Additional Job Details (if applicable)

POSITION SUMMARY:

A postdoctoral position is available at Schepens Eye Research Institute of Massachusetts Eye and Ear under the supervision of Dr. Mengyu Wang. The start date is flexible. 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. Salary will be based on institutional policy.

The postdoctoral fellow will conduct research on developing foundation models for eye disease diagnosis and prognosis. The research will focus on leveraging large-scale ophthalmic datasets and advanced computational approaches to develop next-generation foundation models for improving the detection, characterization, and prediction of eye diseases. The fellow will have access to abundant resources for education, career development, and research from both the Harvard hospital campus and Harvard University campus.

ESSENTIAL FUNCTIONS:

·       Developing foundation models for research projects

·       Assisting with exporting and preprocessing data

·       Writing manuscripts

·       Assisting with grant applications

·       Co-mentoring research assistants and interns

·       Other duties as assigned

EDUCATION AND EXPERIENCE:

The successful applicant will:

·       possess or be on track to complete a PhD or MD with background in mathematics, computational science, computer science, statistics, machine learning, deep learning, computer vision, 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. Hybrid work mode 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.

Remote Type
Onsite

Work Location
20 Staniford Street

Scheduled Weekly Hours
40

Employee Type
Regular

Work Shift
Day (United States of America)

EEO Statement:
5110 Massachusetts Eye and Ear Infirmary 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.