Mass General Brigham relies on a wide range of professionals to advance its mission of supporting patient care, research, teaching, and community service. The Anahtar and Lemieux Laboratories at Massachusetts General Hospital (MGH) seek a data scientist to analyze microbial genomic data and integrate it with clinical data for NIH- and CDC-funded projects.
Requirements
- at least 1 year of experience in a data science-related field (e.g., statistics, machine learning, bioinformatics)
- fluency with at least one of programming language such as R and Python
- interest in machine learning theory or implementation
- Demonstrated experience in infrastructure, programming languages and computational sciences.
- Demonstrated ability working with open-source bioinformatics software.
- Possess strong analytical skills including critical thinking, data modeling, problem solving and troubleshooting.
Responsibilities
- Assist in the analysis of biological data using bioinformatics tools and software.
- Perform data processing, quality control, and database maintenance.
- Support the development and implementation of data analysis pipelines.
- Conduct basic statistical analyses and data visualization.
- Participate in the interpretation and presentation of results.
- Working under very general supervision, the Bioinformatics Analyst will have demonstrated independent design and innovation in one or more of the following areas of specialization: algorithm development, data analysis, quality assurance/testing, pipeline software/computing development, user interface design & report development, web-based application development, or report development.
Other
- interest in solving biological problems using large datasets including genomic and clinical data.
- Experience with biological databases and electronic health record data and an interest in infectious disease/microbial genomics research would be a plus.
- Strong organizational and interpersonal skills.
- Ability to effectively communicate, both orally and in writing, to all levels of staff.
- Excellent time management skills.
