Computational Imaging Research Associate Jobs in Boston, MA

Site: The General Hospital Corporation
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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

• Bachelor's or master's 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 $55,000 per year and a maximum of $60,000 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
$53,040.00 - $75,888.80/Annual
Grade
5
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