Research Data Analyst

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

Site: The McLean 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

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.

Does this position require Patient Care?

No

Essential Functions

• 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).
• Perform differential expression and association analyses using statistical frameworks such as limma and related R/Bioconductor tools.
• Organize, curate, and analyze clinical and EHR-derived phenotype data, including data collection, harmonization, quality control, and phenotype definition.
• Develop and maintain reproducible analysis pipelines in R and/or Python.
• Conduct data quality control, visualization, statistical modeling, and interpretation of results.
• Organize, document, and maintain research datasets and analysis outputs to facilitate reproducibility and collaboration.
• Work closely with investigators on study design, analysis, interpretation, and preparation of results for presentations and manuscripts.

Qualifications

Education

Bachelor's or Master's degree in bioinformatics, biostatistics, computational biology, data science, statistics, genetics/genomics, or a related quantitative field required.

Can this role accept experience in lieu of a degree?

Yes

Experience

Experience attained through education or 0-1 year of relevant research or data-analysis experience required. Academic research, internships, or coursework involving statistical analysis or biomedical data may satisfy this requirement.

Knowledge, Skills and Abilities

• Proficiency in R and statistical data analysis; experience with Python is desirable.
• Experience working with large, complex, or high-dimensional biomedical datasets.
• Familiarity with genomic, transcriptomic, DNA methylation, or other molecular data.
• Familiarity with PRS, GWAS, TWAS/GReX, limma, or related genomic analysis methods is desirable.
• Familiarity with clinical or EHR data, including phenotype curation and harmonization, is desirable.
• 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.

Additional Job Details (if applicable)

Remote Type

Hybrid

Work Location

115 Mill Street

Scheduled Weekly Hours

40

Employee Type

Regular

Work Shift

Day (United States of America)