Mass General Brigham is looking to advance its mission by studying cancer genomics and epigenomics, and is seeking a data analyst to join an interdisciplinary team working on rigorous analysis of next generation sequencing data and other multi-omics datasets from tumor and normal samples.
Requirements
- 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.
- Building proficiency in statistics, data analysis, and data sets.
- Solid quantitative, analytical and technical aptitude skills.
- Demonstrated knowledge of and skill in word processing, spreadsheet, and database PC applications.
- 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
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.
Other
- 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.
- Ability to work effectively with multi-disciplinary teams consisting of physicians, experimental scientists, statisticians and software engineers
- Participate in dealing with all levels of employees /management and building proficient relationships with teams and all organizational customers.
