Data Analyst Job at Mass General Brigham in Boston

Data Analyst- Cancer Genomics and Epigenomics

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 MGH Center for Cancer Research is looking for a data analyst to study cancer genomics and epigenomics. The successful candidate will join an interdisciplinary team working on rigorous analysis of next generation sequencing data (DNA, RNA, chromatin, single-cell omics) and other multi-omics datasets from tumor and normal samples. The ideal candidate has a strong computational background, actively seeks solutions to challenges and enjoys working in a small team-environment.

Responsibilities

• Apply existing and novel algorithms to cancer data sets, critically review, analyze and visualize results.
• Design, implement and develop analysis approaches, workflows and novel software tools for large multi-omics data sets (genomic, transcriptomic, epigenomic and proteomic data).
• Contribute to quantitative molecular analysis pipelines under the supervision of staff or faculty, including:
  • Assisting with hypothesis generation and experimental design
  • Performing downstream data processing, quality control, and statistical analysis
  • Interpreting and visualizing results for internal and external presentations
• Assist senior team members with curation, organization, and maintenance of large datasets and related metadata.
• Support and train new users on analysis workflows and tools; help standardize best practices for multi-omic and proteomic data analysis.
• Present results effectively to clinicians, experimental biologists, and computational scientists in lab meetings and collaborative discussions.

Qualifications

• B.A./B.S/M.S. in Computational Biology, Bioinformatics, Biology, Biochemistry, Computer Science, Mathematics, Physics, or a related field.
• Strong interest in cancer research; prior experience in this area is an advantage.
• Demonstrated independence, strong self-motivation, and ability to prioritize and organize work.
• Excellent programming skills in Python or R (both preferred).
• Familiarity with software engineering practices and algorithms, including version control (e.g., Git) and reproducible workflows.
• Comfort using Word, Excel, Powerpoint or Google Docs to summarize and communicate results between team members.
• Strong written and verbal communication skills and fluency in English.
• Ability to work effectively with multi-disciplinary teams consisting of physicians, experimental scientists, statisticians and software engineers.

Additional Job Details

Remote Type: Hybrid

Work Location: 185 Cambridge Street

Scheduled Weekly Hours: 40

Employee Type: Regular

Work Shift: Day (United States of America)

Pay Range: $52,000.00 - $74,401.60/Annual

EEO Statement: 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 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.