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Salary
$52k – $101k per year (Estimated)
Location
Remote/Hybrid (United States)
Employment
Full-Time
Overview
Company
Impact
Profile match
Mass General Brigham is a prominent non-profit healthcare system and integrated network of hospitals and physicians originally founded by Brigham and Women's Hospital and Massachusetts General Hospital. Headquartered in Boston, Massachusetts, the organization serves as a major teaching affiliate for Harvard Medical School and conducts extensive biomedical research. Beyond its primary academic medical centers, the vast health network operates numerous community hospitals, specialty facilities, and health insurance plans to provide comprehensive patient care.
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

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)

Pay Range

- /

Grade

5At Mass General Brigham, we believe in recognizing and rewarding the unique value each team member brings to our organization. Our approach to determining base pay is comprehensive, and any offer extended will take into account your skills, relevant experience if applicable, education, certifications and other essential factors. The base pay information provided offers an estimate based on the minimum job qualifications; however, it does not encompass all elements contributing to your total compensation package. In addition to competitive base pay, we offer comprehensive benefits, career advancement opportunities, differentials, premiums and bonuses as applicable and recognition programs designed to celebrate your contributions and support your professional growth. We invite you to apply, and our Talent Acquisition team will provide an overview of your potential compensation and benefits package.

EEO Statement:

1600 The McLean Hospital Corporation is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran’s Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at (857)-282-7642.

Mass General Brigham Competency Framework

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.

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