Data Analyst
Mass General Brigham
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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
Data Analyst- Cancer Genomics and EpigenomicsThe 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
Qualifications
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 time management and project management skills.
- Ability to exercise sound judgments to make decisions within 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
Work Location
Scheduled Weekly Hours
Employee Type
Work Shift
Pay Range
$52,000.00 - $74,401.60/Annual
Grade
5
EEO Statement:
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.
This job is no longer accepting applications
See open jobs at Mass General Brigham.See open jobs similar to "Data Analyst" MassTech Health IT.