Data Analyst

Mass General Brigham • Boston, MA

15h • Hybrid

About The Position

Data Analyst- Cancer Genomics and Epigenomics 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.

Requirements

• B.A./B.S/M.S. in Computational Biology, Bioinformatics, Biology, Biochemistry, Computer Science, Mathematics, Physics, or a related field
• 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
• 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.

Nice To Haves

• Strong interest in cancer research; prior experience in this area is an advantage
• Data Analysis Experience 0-1 year preferred

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level