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Field
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of this program is to discover clinically relevant candidates that can be fast tracked for clinical development. The lab uses a combination of bioinformatics, biochemistry, animal modelling, Crispr screening and
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working at the boundaries of several research domains PhD degree in computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline Knowledge and
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computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline Knowledge and experience in the analysis of metagenomics and/or biological high-throughput
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. Expertise in the study of animal models and in vivo tumor growth. Excellent knowledge in the field of phosphatases and kinases and their role in cancer and immunity. Experience with bioinformatics, data
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mechanisms. Research directions include exploring DNA sequencing, DNA probe design, sequencing library preparation, bioanalytical chemistry, bioengineering and bioinformatics solutions for emerging problems in
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designing and generating microbial expression libraries, DNA assembly, bioinformatics, and handling microbial cultures. Demonstrated ability to work independently and as part of a team. Demonstrated ability
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, normalization, and dimensionality reduction using established bioinformatics pipelines. Generates summary statistics, data visualizations (e.g., heatmaps, UMAPs, violin plots), and interpret gene expression
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, immunofluorescence staining of proteins of interest, molecular biology, single-cell mRNA and open chromatin sequencing, analysis of brain connectomes and bioinformatics. In compliance with NYC’s Pay Transparency Act
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related discipline. Preference will be given to those with excellent track record, research experience and strong expertise in cancer bioinformatics, cancer biology and/or cancer immunology as well as cell
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/bioinformatics, and data science. Work Performed · Work in highly collaborative inter-disciplinary environment with clinicians, econometricians, statisticians, and data scientists · Lead statistical analysis