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Computational Research Associate


Job Location:

Boston, MA - USA

Monthly Salary: $ 53040 - 75888
Posted: 26 August 2026 (18 hours ago)
Application Deadline: 23 November 2026
Vacancies: 1 Vacancy

Job Summary

Site: The General Hospital Corporation


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

Summary: Collaborates with team members to assist in collecting analyzing and interpreting data sets.
Essential Functions-Writes and runs basic queries as needed.
-Assists in maintaining existing reporting systems.
-Contributes to presentations to key stakeholders.
-Works with senior analysts to design maintain and distribute reports.
-Learn leading practice analysis methodologies.
-Conduct continuous analysis of current performance and accurately forecast data trends.


Qualifications

Position Overview

Dr. Kenneth Westerman is recruiting a Computational Research Associate to join his interdisciplinary research group at Massachusetts General Hospital (MGH) and Harvard Medical School (HMS). The associate will contribute to cutting-edge genetic epidemiology analyses in large biobank and cohort datasets with implications for precision medicine and cardiometabolic disease prevention.

The position will be co-supervised by Dr. Arun Durvasula at the University of Southern California (USC). This is an excellent opportunity for a motivated early-career researcher to develop advanced computational skills build a strong publication record and be a part of a world-class research community at MGH HMS and the Broad Institute.

Key Responsibilities

The associate will work with Dr. Westerman to investigate genetic factors modifying the relationship between non-genetic exposures (such as adiposity and age) and cardiometabolic risk factors. Specific responsibilities include:

  • Conducting gene-environment interaction analyses in large-scale biobank and cohort datasets
  • Harmonizing heterogeneous datasets including socioeconomic and lifestyle covariates and cardiometabolic trait phenotypes
  • Contributing to the preparation of scientific manuscripts and presenting findings at internal group meetings and external conferences
  • Collaborating with an interdisciplinary team spanning computational scientists and clinician-researchers across USC MGH HMS and the Broad Institute

Beyond this primary focus there are opportunities to become involved with projects from our broader portfolio including polygenic risk scores multi-omics analysis and classical epidemiology in large cohort datasets.

Qualifications

Required

  • Bachelors or masters degree in genetic epidemiology computational biology bioinformatics statistics or a related field
  • Strong programming skills in R and/or Python and comfort with Linux/shell scripting
  • Excellent written and verbal communication skills
  • Highly self-motivated and driven to contribute to scientific research

Preferred

  • Experience with biomedical cloud computing environments (e.g. Terra DNAnexus) and large-scale genomic datasets (e.g. UK Biobank)
  • Experience with genome-wide association studies and gene-environment interaction analysis
  • Background and interest in cardiometabolic disease biology

Compensation

This is a full-time benefits-eligible position. Salary will be based on experience beginning at a minimum of $55000 per year and a maximum of $60000 per year.


Additional Job Details (if applicable)

Physical Requirements


Remote Type

Hybrid


Work Location

100 Cambridge Street


Scheduled Weekly Hours

40


Employee Type

Regular


Work Shift

Day (United States of America)



Pay Range

$53040.00 - $75888.80/Annual


Grade

5


At Mass General Brigham we believe in recognizing and rewarding the unique value each team member brings to our organization. Our approach to determining base pay is comprehensive and any offer extended will take into account your skills relevant experience if applicable education certifications and other essential factors. The base pay information provided offers an estimate based on the minimum job qualifications; however it does not encompass all elements contributing to your total compensation addition to competitive base pay we offer comprehensive benefits career advancement opportunities differentials premiums and bonuses as applicable and recognition programs designed to celebrate your contributions and support your professional growth. We invite you to apply and our Talent Acquisition team will provide an overview of your potential compensation and benefits package.


EEO Statement:

1200 The General Hospital Corporation 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 Veterans 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 .


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.


Required Experience:

IC


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