We seek a post-doctoral fellow or a masters level-scientist with expertise in computational biology to work under the joint mentorship of Dr. Saurabh Mehandru and Dr. Francesca Petralia.
The Mehandru lab studies human and murine mucosal immune system in the context of inflammatory bowel diseases (IBD) and immunodeficiencies (HIV) with multidisciplinary approaches. The lab has multiple ongoing studies and is supported by NIH R01 grants and other sources of funding. The laboratory has a successful track record of mentoring post-doctoral fellows and Master’s-level students who have attained successful positions in medical school and graduate school. As such, we would prefer candidates who are looking for immunology-based research experience.
The candidate will also closely work with Dr. Francesca Petralia, a faculty member in the Department of Genetics and Genomic Sciences at Mount Sinai. Dr. Petralia’s group develops advanced statistical methods for the integration of different types of omics data to enhance the understanding of complex diseases. Specifically, Dr. Petralia has developed various integrative network tools to characterize the interactions across markers measured in high-throughput data for the identification of key-drivers and data driven pathways activated in disease. These methods have been utilized to make important discoveries published in high impact factor journals such as Cell, Nature and Gastroenterology.
Thus, the candidate will have the opportunity to train in a highly dynamic environment, working with mucosal immunology and computational groups to address the scientific questions of the 21st century.
Specifics of the opening and required Qualifications:
Highly motivated researchers for the analysis of bulk and single cell RNAseq data to characterize the tissue microenvironment in patients affected by IBD and HIV. Researchers will work in the Mehandru lab, closely collaborating with Dr. Petralia to (i) develop new algorithms for the analysis of bulk and single cell RNAseq data and (ii) apply these algorithms to analyze the data generated by Dr. Mehandru’s lab. The successful candidate will work in a highly collaborative environment to tackle important questions in IBD and HIV research.
1) MS/Ph.D. in Biostatistics, Computational Biology or similar area of study
2) Prior experience with data analysis involving high-throughput data such as bulk and single
cell RNAseq data
3) Strong background in programming languages such as R and Python
4) Understanding of current state-of-the-art methods for the analysis of high-throughput
genomics data and their underlying statistical principles
5) Innovative/critical thinking
Tagged as: Computer Science, Life Sciences
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