Job Description:
A postdoctoral position is available in the Schizophrenia Center at the Johns Hopkins School of Medicine. The center seeks a talented and highly motivated Bioinformatician/Biostatistician to pursue translational/clinical research projects, including a) first episode psychosis project, and b) chronic schizophrenia and mood disorder project. Primary purposes include 1) to identify biomarker candidates, and 2) to generate hypotheses for the pathophysiology of psychiatric disorders. The Schizophrenia Center is currently supported by multiple types of funding, such as NIH and other federal grants, non-profit organization grants, funds from industry, and funds from philanthropic donors. A successful candidate will:
Additional Info:
Johns Hopkins University is a leading institution in the field of computational biology and data science. A wide range of world-class experts is affiliated with our center and committed to the projects to generate high impact data related to the understanding of these brain disorders. Under a collaborative atmosphere, the candidate will have plenty of opportunities to further develop their skills through interactions with these leading experts. Contact: Akira Sawa, MD, Ph.D. Please send CV to JHSZC at jhu.edu Job Type: Full-time Required education: Doctorate[Click Here to Access the Original Job Post]
A postdoctoral position is available in the Schizophrenia Center at the Johns Hopkins School of Medicine. The center seeks a talented and highly motivated Bioinformatician/Biostatistician to pursue translational/clinical research projects, including a) first episode psychosis project, and b) chronic schizophrenia and mood disorder project. Primary purposes include 1) to identify biomarker candidates, and 2) to generate hypotheses for the pathophysiology of psychiatric disorders. The Schizophrenia Center is currently supported by multiple types of funding, such as NIH and other federal grants, non-profit organization grants, funds from industry, and funds from philanthropic donors. A successful candidate will:
- work with interdisciplinary teams including clinical, neuropsychological, neuroimaging, electrophysiological, behavioral, molecular scientists
- analyze molecular profiling data (microarray, RNA-Seq, Ribo-Seq, etc.), or brain imaging data (MRI, fcMRI, and MRS)
- integrate data across clinical and molecular data layers
- A Ph.D. in bioinformatics, biostatistics, computational biology or similar field.
- Experience of next-generation sequencing data analysis or brain imaging data analysis, supported by strong publication
- Proficient in R and at least one of the following languages: Python, Ruby, C++
- Ability to work collaboratively with members from different research backgrounds
- Experience of web-based database development is a plus
- Experience of statistical design and analysis of clinical studies in the field of psychiatric disorders is a plus
- Experience of machine learning is a plus
Requeriments :
Skills :
- Machine Learning
- Microarray
- Next Generation Sequencing
- Programing in C++
- Programing in Python
- Programming in R
- RNA-seq
- Statistics
Areas :
Additional Info:
Johns Hopkins University is a leading institution in the field of computational biology and data science. A wide range of world-class experts is affiliated with our center and committed to the projects to generate high impact data related to the understanding of these brain disorders. Under a collaborative atmosphere, the candidate will have plenty of opportunities to further develop their skills through interactions with these leading experts. Contact: Akira Sawa, MD, Ph.D. Please send CV to JHSZC at jhu.edu Job Type: Full-time Required education: Doctorate[Click Here to Access the Original Job Post]