Genomics Data Analyst — Hybrid Research & Bioinformatics

Mass General Brigham; Belmont (CA); Hybrid; USD 90,000 - 110,000; Full time

Job summary

Mass General Brigham is seeking a Research Data Analyst to support collaborative research, integrating genomic and multi-omic data with clinical and EHR data. You will perform statistical analyses, train models, and develop reproducible pipelines in R and Python.

The role focuses on the genetic, epigenetic, and molecular basis of psychiatric and related complex traits, with close collaboration to investigators and clinicians.

Qualifications

• Bachelor's or Master's degree in bioinformatics, biostatistics, computational biology, data science, statistics, genetics/genomics, or a related quantitative field required.
• Experience with statistical analysis or biomedical data may satisfy this requirement.
• Proficiency in R and statistical data analysis; Python is desirable.

Responsibilities

• Perform statistical analyses of genomic and molecular data, including PRS analyses and association testing.
• Integrate genomic, transcriptomic, methylomic, clinical, and EHR phenotype data.
• Analyze high-dimensional transcriptomic and DNA methylation datasets.
• Train GReX models and conduct TWAS.
• Perform differential expression and association analyses using limma and related tools.
• Organize, curate, and analyze clinical and EHR-derived phenotype data with QC and harmonization.
• Develop and maintain reproducible analysis pipelines in R and/or Python.
• Collaborate with investigators on study design, interpretation, and results preparation.

Skills

Statistical analysis

Biomedical data handling

Data visualization

Collaborative work

Documentation

R programming

Python programming

Education

Bachelor's or Master's degree in bioinformatics, biostatistics or related quantitative field

Tools

R

Python

Job description

Mass General Brigham is seeking a Research Data Analyst to support collaborative research, integrating genomic and multi-omic data with clinical and EHR data. You will perform statistical analyses, train models, and develop reproducible pipelines in R and Python.

The role focuses on the genetic, epigenetic, and molecular basis of psychiatric and related complex traits, with close collaboration to investigators and clinicians.