Job ID: 6010
Job date: 2018-04-25
End Date: 2018-06-24
Company : Brigham and Women’s Hospital Country : United States Role : Postdoc | Research Scientist
Job date: 2018-04-25
End Date: 2018-06-24
Company : Brigham and Women’s Hospital Country : United States Role : Postdoc | Research Scientist
Job 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 interdisciplinary projects. Research opportunities in the lab include developing statistical approaches to analyze mobile health data, performing integrative analysis of multiple types of ‘omics data, and developing network methods with translational applications in biology and medicine. 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. For more information on the type of research we do please see https://sites.google.com/a/channing.harvard.edu/kimberlyglass/ Qualifications: The successful applicant will be highly-motivated, have good communication, writing and programming skills (e.g. Matlab/R/python), and hold a PhD in Bioinformatics, Computational Biology, Statistics, Mathematics, Physics, Computer Science, or a related field. A background in statistics, previous research experience in genomic data analysis and network methods, and an interest in applications in biology and medicine are strongly desired.
Additional Info:
Start date: To be determined How to Apply: Interested candidates should send a copy of their CV and research statement to Kimberly Glass by emailing kimberly.glass at channing dot harvard dot edu. Contact: Kimberly Glass[Click Here to Access the Original Job Post]
The Channing Division of Network Medicine at Brigham and Women’s Hospital and Harvard Medical School is seeking a postdoctoral fellow to work on interdisciplinary projects. Research opportunities in the lab include developing statistical approaches to analyze mobile health data, performing integrative analysis of multiple types of ‘omics data, and developing network methods with translational applications in biology and medicine. 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. For more information on the type of research we do please see https://sites.google.com/a/channing.harvard.edu/kimberlyglass/ Qualifications: The successful applicant will be highly-motivated, have good communication, writing and programming skills (e.g. Matlab/R/python), and hold a PhD in Bioinformatics, Computational Biology, Statistics, Mathematics, Physics, Computer Science, or a related field. A background in statistics, previous research experience in genomic data analysis and network methods, and an interest in applications in biology and medicine are strongly desired.
Requeriments :
Skills :
Areas :
Additional Info:
Start date: To be determined How to Apply: Interested candidates should send a copy of their CV and research statement to Kimberly Glass by emailing kimberly.glass at channing dot harvard dot edu. Contact: Kimberly Glass[Click Here to Access the Original Job Post]