Data Analyst

Mass General Brigham; Boston (MA); Hybrid; USD 53,000 - 76,000; Full time

Job summary

Mass General Brigham's Sevilla Lab is seeking a Research Analyst to support computational and statistical research focused on type 2 diabetes and precision medicine. You will develop and maintain reproducible analytical pipelines for large biomedical datasets, including genomics, metabolomics, proteomics, clinical, and epidemiologic data.

Ideal candidates have strong quantitative and programming skills in R/Python, work well with a multidisciplinary team, and contribute to advancing molecular

Qualifications

• Master's degree in computational biology or related quantitative field.
• Relevant research or professional experience in computational data analysis, biomedical data science, bioinformatics, or a related field.
• Experience managing or analyzing large-scale omics datasets, including metabolomics, proteomics, genomics, transcriptomics, or other high-dimensional molecular data.
• Strong programming skills in R and/or Python.
• Familiarity with version control systems, such as Git or GitHub.
• Strong organizational skills and attention to detail.
• Ability to work independently while also collaborating effectively with a multidisciplinary research team.
• Strong written and verbal communication skills.

Responsibilities

• 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.

Skills

Statistical analysis

Programming in R

Programming in Python

Git/GitHub

Communication skills

Independent worker

Team collaboration

Education

Master's degree in computational biology or related field

Bachelor's degree Analytics or related field

Tools

R

Python

Job description

Site: The General 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

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.

The Sevilla Lab is seeking a highly motivated Research Analyst to support computational and statistical research focused on type 2 diabetes, precision prevention, and large-scale multi-omics data integration. The successful candidate will play a key role in developing, implementing, and maintaining reproducible analytical pipelines for large biomedical datasets, including genomics, metabolomics, proteomics, clinical, and epidemiologic data.

This position is ideal for a candidate with strong quantitative and programming skills who is interested in applying computational approaches to understand the molecular and environmental determinants of type 2 diabetes and related metabolic traits. The Research Analyst will work closely with the principal investigator, collaborators, trainees, and external research teams to support ongoing and emerging projects in molecular epidemiology and precision medicine.

Qualifications

• Master's degree in computational biology, bioinformatics, biostatistics, statistics, epidemiology, computer science, or a related quantitative field.
• Relevant research or professional experience in computational data analysis, biomedical data science, bioinformatics, or a related field.
• Experience managing or analyzing large-scale omics datasets, including metabolomics, proteomics, genomics, transcriptomics, or other high-dimensional molecular data.
• Strong programming skills in R and/or Python.
• Familiarity with version control systems, such as Git or GitHub.
• Strong organizational skills and attention to detail.
• Ability to work independently while also collaborating effectively with a multidisciplinary research team.
• Strong written and verbal communication skills.

Education

Bachelor's Degree Analytics required or Bachelor's Degree Related Field of Study required

Experience

Data Analysis Experience 0-1 year preferred

Knowledge, Skills and Abilities

• Building proficiency in statistics, data analysis, and data sets.
• Proficient in time management and project management skills.
• Ability to exercise sound judgment to make decisions within the scope of job responsibilities.
• Demonstrated knowledge of and skill in word processing, spreadsheet, and database PC applications.
• Solid quantitative, analytical, and technical aptitude skills.
• Participate in dealing with all levels of employees /management and building proficient relationships with teams and all organizational customers.
• Able to find and define problems, understand business impact, identify solutions, and provide recommendations for corrective action.

Additional Job Details (if applicable)

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

At 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:

1200 The General 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 Veterans 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.