Posted:
7/7/2026, 9:41:08 AM
Location(s):
Boston, Massachusetts, United States ⋅ Massachusetts, United States
Experience Level(s):
Junior ⋅ Mid Level ⋅ Senior
Field(s):
AI & Machine Learning
Workplace Type:
Remote
Pay:
$63k–$103k/yr
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
Qualifications
Education
Master's Degree Related Field of Study required
Can this role accept experience in lieu of a degree?
No
Licenses and Credentials
Experience
Experience in an academic or laboratory research setting 3-5 years required
Knowledge, Skills and Abilities
- Must be a problem solver willing to take the initiative and prioritize tasks, thereby ensuring the smooth and efficient conduct of several projects simultaneously.
- Excellent organizational skills in order to formulate, implement, and monitor a number of interrelated tasks.
- Ability to exercise discretion and good judgment in handling of sensitive and confidential information.
- Ability to work under deadline pressure and prioritize work from several sources.
- Excellent interpersonal skills for internal and external communications.
Additional Job Details (if applicable)
We are seeking a full-time Computational Associate – Human Genomics and Multi-omics for Dr. Michael Honigberg’s interdisciplinary research team across Massachusetts General Hospital and the Broad Institute of MIT and Harvard. This position offers a unique opportunity to work on cutting-edge genetic epidemiology, polygenic risk score development, common and rare variant analysis, and multi-omic integration, including epigenetics, proteomics, and metabolomics.
The Computational Associate will participate in data analysis for two ambitious multi-omic research projects focused on emerging cardiovascular risk factors. This role is ideal for post-Masters students looking to gain hands-on research experience, build their publication record, and explore research opportunities before applying to PhD programs. Dr. Honigberg has a robust publication record and is committed to providing comprehensive training, guidance in research and writing, and opportunities for collaboration and presenting research work.
PRINCIPAL DUTIES AND RESPONSIBILITIES:
The responsibilities may vary according to projects, but include the following:
• Perform genetic and multi-omic analysis
• Collaborate with an interdisciplinary team, including researchers at Massachusetts General Hospital (MGH), Harvard Medical School, and the Broad Institute of MIT and Harvard
• Participate in scientific writing and contribute to publications
• Present research findings at internal and external meetings
• Makes proficient intellectual contributions to scientific strategies of the lab and plays a leadership role by acting as subject matter expert
• Contributes to the design and execution of experiments and/or research projects
• Exercises judgment in selecting methods and technologies to obtain results
QUALIFICATIONS:
Applicants should possess:
• Experience analyzing genetic and genomic data, such as genome-wide association studies (GWAS) or rare variant analysis (Preferred but not required)
• Strong programming skills (e.g., R, Python)
• Excellent organizational, communication, and collaborative skills
• Self-motivated and driven to contribute to scientific research
WHY JOIN US?
• This position provides the opportunity to:
• Work in a dynamic and collaborative environment at the intersection of genetics, epidemiology, and computational biology
• Be part of an innovative research community with access to world-class resources at MGH, Harvard Medical School, and the Broad Institute
• Receive mentorship and hands-on training from leading experts in the field
• Develop a strong publication record, valuable for future academic or professional pursuits
EDUCATION:
• Master’s degree in genetic epidemiology, biostatistics, statistics, or a related field (Bachelor’s degree with relevant experience will also be considered)
EXPERIENCE:
Previous Research experience (inclusive of graduate experience) preferred
Remote Type
Work Location
Scheduled Weekly Hours
Employee Type
Work Shift
Pay Range
$63,252.80 - $102,596.00/Annual
Grade
7
EEO Statement:
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.
Website: https://www.massgeneralbrigham.org/
Headquarter Location: Somerville, Massachusetts, United States
Employee Count: 10001+
Year Founded: 1994
IPO Status: Private
Industries: Health Care ⋅ Home Health Care ⋅ Medical
Visa Sponsorship: Sponsors work visas