Post Doctoral Fellow in Deep Learning for Microbiome Spatial Omics
- Brigham and Women's Hospital / Harvard Medical School
- Location: Boston, MA
- Job Number: 7293742
- Posting Date: Recently posted
- Application Deadline: Open Until Filled
Job Description
The Gerber Lab (http://gerber.bwh.harvard.edu) is a multidisciplinary group at Brigham and Women’s Hospital/Harvard Medical School that develops novel computational models and high-throughput experimental systems to understand the role of the microbiota in human diseases, and applies these findings to develop new diagnostic tests and therapies. A long-standing and continuing focus of the lab is on incorporating principled probabilistic models into machine learning methods. The director of the lab, Dr. Georg Gerber, MD, PhD, MPH, uses his unique expertise, combining deep learning method development, medical microbiology, and human pathology, to leverage cutting-edge technologies to tackle scientifically and clinically important problems.
We are looking for an exceptional researcher who will play a major role in new initiatives in the lab to develop novel deep learning (DL) approaches to further understanding of the spatial organization of the microbiome--the trillions of microbes living on and within us---and its interactions with mammalian cells. The successful candidate will be highly motivated and creative, taking a lead role in developing new deep learning-based methods, analyzing data, and interpreting results. Although experience analyzing data from biological systems is required, microbiome specific knowledge is not.
Qualifications:
• PhD in Computer Science, Computational Biology, or other highly quantitative discipline.
• Outstanding publication track record.
• Strong mathematical background and skills.
• Experience developing DL methods.
• Experience analyzing data from biological systems, including sequencing data.
• Solid programming skills in Python, including PyTorch.
• Superior verbal and written communication skills, and ability to work on multidisciplinary teams.
Environment: the Gerber Lab is located in the Brigham and Women’s Hospital Division of Computational Pathology (http://comp-path.bwh.harvard.edu) at Harvard Medical School (HMS). With a recent grant from the Massachusetts Life Science center, the Division has built the Lab for AI/Deep Learning for the Microbiome, which has a state-of-the-art GPU cluster for model development, training and deployment. BWH is part of the greater Longwood Medical Area in Boston, a rich, stimulating environment conducive to intellectual development and research collaborations, which includes HMS, Harvard School of Public Health and Boston Children’s Hospital.
To apply: email a single PDF including cover letter, CV, brief research statement and a list of at least three references to Dr. Georg Gerber ([email protected]).
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions or any other characteristic protected by law.
We are looking for an exceptional researcher who will play a major role in new initiatives in the lab to develop novel deep learning (DL) approaches to further understanding of the spatial organization of the microbiome--the trillions of microbes living on and within us---and its interactions with mammalian cells. The successful candidate will be highly motivated and creative, taking a lead role in developing new deep learning-based methods, analyzing data, and interpreting results. Although experience analyzing data from biological systems is required, microbiome specific knowledge is not.
Qualifications:
• PhD in Computer Science, Computational Biology, or other highly quantitative discipline.
• Outstanding publication track record.
• Strong mathematical background and skills.
• Experience developing DL methods.
• Experience analyzing data from biological systems, including sequencing data.
• Solid programming skills in Python, including PyTorch.
• Superior verbal and written communication skills, and ability to work on multidisciplinary teams.
Environment: the Gerber Lab is located in the Brigham and Women’s Hospital Division of Computational Pathology (http://comp-path.bwh.harvard.edu) at Harvard Medical School (HMS). With a recent grant from the Massachusetts Life Science center, the Division has built the Lab for AI/Deep Learning for the Microbiome, which has a state-of-the-art GPU cluster for model development, training and deployment. BWH is part of the greater Longwood Medical Area in Boston, a rich, stimulating environment conducive to intellectual development and research collaborations, which includes HMS, Harvard School of Public Health and Boston Children’s Hospital.
To apply: email a single PDF including cover letter, CV, brief research statement and a list of at least three references to Dr. Georg Gerber ([email protected]).
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions or any other characteristic protected by law.
