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Mass General Brigham

Postdoctoral Fellow

Boston-MA

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hirly's read of this role

Seniority
Mid level
Stated salary
$71,750 – $81,179 per year
Country
US
Work mode
On-site / unstated
First seen by hirly
2 Oct 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

Site: The Brigham and Women's Hospital, Inc.

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

The Reshef Lab is seeking an outstanding postdoctoral researcher with training in computational biology, statistics, machine learning, and/or artificial intelligence. This is a primarily computational position focused on developing novel computational methods and applying them to cutting-edge molecular datasets to address fundamental questions in human autoimmunity.

Qualifications

This is a courtesy posting. Please do not submit your application through the Workday "Apply" button.

To be considered for this position, email your CV, cover letter describing your research interests and goals to Yakir Reshef at yreshef@mgb.org

Applications submitted only through Workday will not be forwarded to the hiring manager and may not be reviewed.

The successful candidate will have a strong quantitative foundation, demonstrated experience developing or applying computational methods to biological data, and a deep interest in solving challenging problems at the intersection of computation and biology. We are particularly interested in candidates who are excited to develop new approaches rather than simply apply existing tools, and who aspire to lead independent research programs. The candidate will work closely with collaborators across computational biology, genomics, immunology, and rheumatology.

The lab provides an interdisciplinary environment spanning machine learning, statistical methodology, single-cell and spatial genomics, and human immunology. The successful candidate will have access to large, richly characterized human molecular datasets and the opportunity to develop methods with broad relevance to biomedical research while using them to make biological discoveries in autoimmunity.

Additional Job Details (if applicable)

The compensation range for this role is between $71,750 - $81,179. Candidate experience is thoughtfully considered throughout the recruitment process, and those with significant experience may be considered for compensation above the starting range listed, as consistent with organizational guidelines and internal equity

Remote Type

Hybrid

Work Location

60 Fenwood Road

Scheduled Weekly Hours

40

Employee Type

Regular

Work Shift

Day (United States of America)

EEO Statement:

2200 The Brigham and Women's Hospital, Inc. 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.

Original posting on Mass General Brigham's site ↗

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