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Post-doctoral researcher

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Baltimore, MD

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Post-doctoral researcher in Bioinformatics/Computational Biology to study Genomics of Psychiatric Disorders
The Mood Disorders Center, an interdisciplinary research group within the Department of Psychiatry and Johns Hopkins University School of Medicine, seeks a post-doctoral researcher with biostatistical, bioinformatics and/or systems biology expertise to work with next-generation sequencing data and downstream analyses.   We are currently involved in a number of large-scale next-generation sequencing projects of Major Depressive Disorder and Bipolar Disorder, utilizing a wide variety of molecular approaches, including whole genome sequencing, methylation arrays and RNA sequencing.
The successful candidate will be funded under a NIMH T32 grant supporting postdoctoral research (MH014592) and will work with a well-funded multidisciplinary research group consisting of geneticists, bioinformaticians, and clinical scientists focused on studying the etiology of severe mood disorders.  We are seeking talented, self-driven individuals who are interested in applying molecular omics technology to the study of severe mood disorders.  The duration of the post-doc will be at least 2 years, with an option to extent for an additional year. Since this is a federally funded position, successfully applications are required to be U.S. citizens or permanent residents.
Requirements
Requirements:
Doctoral degree in human genetics, bioinformatics, computational biology or another quantitative science
Strong computational biology skills, including proficiency in python and R
Familiarity with next-generation sequencing data, with a focus on downstream statistical applications
How to Apply
Interested candidates should send inquiries or a cover letter describing their research goals, along with a CV and contact information for 3 references to Dr. Fernando Goes,  email: ****
About Our Organization
Johns Hopkins University is a leading institution of psychiatric and genomic research, with strong collaborations across divisions within an easily accessible medical campus.                     
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