Research Data Analyst

The Research Data Analyst will work under the direction of the Principal Investigator to support collaborative research integrating genomic and multi-omic data with clinical and electronic health record (EHR) data. The analyst will contribute to projects investigating the genetic, epigenetic, and downstream molecular basis of psychiatric and related complex traits. This is a hybrid position at McLean Hospital Corporation, part of Mass General Brigham.

What You Will Do

Perform statistical analyses of genomic and molecular data, including polygenic risk score (PRS) analyses and association testing. Integrate genetic, transcriptomic, methylomic, clinical, and EHR phenotype data to investigate relationships between molecular variation and clinical outcomes. Analyze high-dimensional transcriptomic and DNA methylation datasets, train genetically regulated gene expression (GReX) models, and conduct transcriptome-wide association studies (TWAS). Develop and maintain reproducible analysis pipelines in R and/or Python, and organize, curate, and analyze clinical and EHR-derived phenotype data.

Why It Might Be a Fit

This role is ideal for candidates with a Bachelor's or Master's degree in bioinformatics, biostatistics, computational biology, data science, statistics, genetics/genomics, or a related quantitative field, and 0–1 year of relevant research or data-analysis experience. Proficiency in R and statistical data analysis is required, with experience in Python desirable. The position offers comprehensive benefits, career advancement opportunities, and recognition programs.

Requirements

• Bachelor's or Master's degree in bioinformatics, biostatistics, computational biology, data science, statistics, genetics/genomics, or a related quantitative field
• Experience attained through education or 0–1 year of relevant research or data-analysis experience
• Proficiency in R and statistical data analysis
• Experience working with large, complex, or high-dimensional biomedical datasets
• Familiarity with genomic, transcriptomic, DNA methylation, or other molecular data
• Understanding of statistical modeling, data visualization, and data quality-control methods
• Strong organizational skills and the ability to maintain well-documented and reproducible analyses
• Ability to work collaboratively with investigators, scientists, clinicians, and interdisciplinary research teams
• Ability to identify analytical or data-related roadblocks and seek appropriate guidance
• Strong computer skills and careful attention to data accuracy and organization

Benefits

• Comprehensive benefits
• Career advancement opportunities
• Differentials, premiums and bonuses as applicable
• Recognition programs