Computational Data Scientist II, Pathology

Mass General Brigham

Mass General Brigham is a not-for-profit organization dedicated to improving patient care, research, teaching, and community service. Their commitment to diversity and inclusion aims to mirror the varied backgrounds of their patient community. This role exists within the Massachusetts Host-Microbiome Center and the Division of Computational Pathology at Brigham and Women’s Hospital, focusing on applying advanced machine learning techniques to breakthrough microbiome research.

In this role you can expect to have the responsibilities:

• Develop and implement machine learning models for microbiological research, with a focus on deep learning methods.
• Use high-performance computing for deploying computational pipelines and analyzing large datasets.
• Create visualizations and document findings in scientific publications and grant applications.
• Collaborate with BWH researchers and engage in outreach to expand the use of machine learning in microbiome studies.

This role comes with the following benefits:

• Engage in cutting-edge microbiome research within a state-of-the-art facility.
• Opportunity to collaborate with leading scientists and researchers in a multidisciplinary environment.

This role requires you to have:

• PhD in Computational Biology, Computer Science, Physics, Statistics, or a related field.
• Experience with machine learning applications and strong Python programming skills.
• Experience in high-performance computing environments and next generation sequencing data analysis.
• Strong communication and collaboration skills.

You would benefit from having:

• Experience with microbiome or microbial datasets and metabolic modeling tools.
• Familiarity with deep learning frameworks like PyTorch.
• Experience with bioinformatics methods and managing large multi-omics datasets.

Massachusetts Host-Microbiome Center and the Division of Computational Pathology at Brigham and Women’s Hospital emphasize diversity, equity, and inclusion, inviting underrepresented groups to apply. They provide reasonable accommodations for individuals with disabilities during the hiring process.