Post-doctoral Position(s):
Postdoctoral Position in Network Medicine and Computational Biology (miRNA-mRNA network modeling)
Position Description: The Channing Division of Network Medicine at Brigham and Women’s Hospital and Harvard Medical School is seeking a postdoctoral fellow to work on an interdisciplinary project focused on analyzing the role of miRNA regulation in context of Chronic Obstructive Pulmonary Disease (COPD). The research objectives will include analyzing miRNA sequencing data, developing approaches to effectively integrate miRNA expression data into multi-Omic network models, and analyzing, interpreting, and comparing miRNA-mRNA regulatory networks for translational applications in COPD. The work will be primarily supervised by Dr. Kimberly Glass, but will also include interacting with a highly interdisciplinary team of researchers from both the Channing and elsewhere in the Longwood Medical Area.
Qualifications: Applicants should hold a PhD in Bioinformatics, Computational Biology, Statistics, Mathematics, Physics, Computer Science, or a related field. They also should have quantitative skills and previous research experience in network methods and/or genomic data analysis, as demonstrated through peer-reviewed publications. Previous experience with miRNA or other sequencing is not required but would be considered favorably. The successful applicant will be highly-motivated and have strong communication, writing, and programming skills (e.g. Matlab/R/python). The ability to work as part of a large, integrated research team and a strong interest in the translational application of quantitative approaches to biology and medicine are also essential.
Application Instructions: Interested candidates should send a copy of their CV, the names of two references, and a research statement to kimberly.glass at channing dot harvard dot edu.
Postdoctoral Position in Network Medicine and Computational Biology (edgeQTL analysis)
Position Description: The Channing Division of Network Medicine at Brigham and Women’s Hospital and Harvard Medical School is seeking a postdoctoral fellow to work on an interdisciplinary project focused on analyzing the impact of genetic variants on gene regulatory networks in context of Chronic Obstructive Pulmonary Disease (COPD). The research objectives will include developing quantitative methods to integrate genotype, gene expression, and open chromatin information to infer individual-specific gene regulatory networks, and applying these approaches to bulk and single-cell gene expression data in order to identify the context-specific impact of COPD GWAS loci on gene regulation. The work will be primarily supervised by Dr. Kimberly Glass, but will also include interacting with a highly interdisciplinary team of researchers from both the Channing and elsewhere in the Longwood Medical Area. Additional information about the types of projects performed by the group can be found at https://sites.google.com/a/channing.harvard.edu/kimberlyglass/
Qualifications: Applicants should hold a PhD in Bioinformatics, Computational Biology, Statistics, Mathematics, Physics, Computer Science, or a related field. They also should have quantitative skills and previous research experience in network methods and/or genomic data analysis, as demonstrated through peer-reviewed publications. Previous experience with genetics data and/or bulk or single-cell RNA-sequencing data is not required but would be considered favorably. The successful applicant will be highly-motivated and have strong communication, writing, and programming skills (e.g. Matlab/R/python). The ability to work as part of a large, integrated research team and a strong interest in the translational application of quantitative approaches to biology and medicine are also essential.
Application Instructions: Interested candidates should send a copy of their CV, the names of two references, and a research statement to kimberly.glass at channing dot harvard dot edu.