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Postdoctoral Fellow in Computational Biology
Tracking Code 8318/F2016 Job Description We are looking for a post-doctoral fellow in Computational Biology and Transcriptome Analysis to lead a joint project between laboratories of Dr. Ruslan Afasizhev at the Department of Molecular and Cell Biology and Dr. Stefano Monti in the Section of Computational Biomedicine at the BU School of Medicine. The candidate will have the opportunity to work in a unique computationally-oriented environment backed by an advanced molecular biology laboratory and substantial resources within the Boston University Medical Campus and collaborators at Harvard Medical School and the Broad Institute. The NIH-funded project involves de novo sequencing, assembly and functional studies of mitochondrial genomes from trypanosomatids, which are unicellular parasites causing a wide spectrum of human diseases. In this context, the candidate’s role will be to develop and apply methods to analyze High-Throughput Sequencing (Pac Bio and Illumina platforms, DNA and primarily coding and non-coding RNA-sequencing) data for the identification and characterization of the molecular pathways contributing to mitochondrial gene expression, and their perturbation in various loss-of-function genetic backgrounds.
The ideal candidate will have: an interdisciplinary background in bioinformatics & computational biology; advanced expertise in the analysis and interpretation of sequencing data and its integration with other “omics” data sources; good programming skills; and advanced knowledge of statistical and machine learning methods. Salary will be commensurate with experience.
Address inquiries to:
Prof. Stefano Monti, Ph.D. Section of Computational Biomedicine
Boston University School of Medicine
72 East Concord Street, E-613B
Boston, MA 02118
Prof. Ruslan Afasizhev, Ph.D. Department of Molecular and Cell Biology
72 East Concord Street, Evans 4th Floor, E424
Boston, MA 02118
Required Skills Qualified candidates should have: A Ph.D. in computational biology, bioinformatics, computer science, engineering, mathematics, physics, or related field. Ability to program in Python and R, with knowledge of MATLAB and/or Java a plus. Familiarity with Unix systems. Demonstrated applied bioinformatics/computational proficiency as evidenced by relevant publications in peer-reviewed journals. Job Location Boston, Massachusetts, United States Position Type Full-Time/Regular Salary Based on experience