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Postdoctoral Researcher

The Knight Cancer Institute

Job Description


We are currently hiring for highly motivated postdoctoral fellows to join Dr. Thuy Ngo’s lab. The goal of Dr. Ngo’s lab is to develop and deploy technologies for analyzing cfRNA, cfDNA, extracellular vesicles (EV) and protein complexes in body fluids for applications in precision diagnosis and selection of therapy. Ngo lab also seeks to understand the complex environment of molecular features detected in body fluids associated disease progression and the evolution of diseases in response to treatment. Furthermore, the lab is investigating the basic mechanism of EV medicated cell-cell communication, EV's content packaging and delivery. Candidates would work in the following areas.

  • Cell-free RNA and cell-free DNA methylation – Design experiments and perform sample preparation to sequence circulating RNA (mRNA, miRNA, transposable elements, circular RNA and microbiome) and DNA methylation from patient’s blood samples. Use existing tools and develop new methods to identify biomarkers, perform classification and prediction modelling, and analyze biological pathways associated with patient samples during cancer progression and under treatment.
  • Extracellular vesicles- Design experiments and perform sample preparation to analyze protein and RNA cargos of extracellular vesicles in body fluids and spent culture media. Investigate mechanism of EV biogenesis and delivery.
  • Developing new technologies for screening and measuring with low background, high sensitivity, high resolution and wide dynamic range to profile proteins and RNA cargos of EV and protein complexes, to characterize them physically and to measure them at both single complex level and at high a throughput manner
  • Transcriptome/Epigenome– Modeling and analyzing next-generation sequencing datasets that measure the transcriptome and the epigenome of cell-free RNA, cell-free DNA and extracellular vesicles in blood. Performing analysis of existing genomics data of cancerous cells to aid the design of cell-free RNA and cell-free DNA methylation assays. The successful candidate will use both existing tools and develop their own computational methods to analyze such datasets for characterization of healthy and cancerous patient populations.
  • Machine Learning/Statistics/Multiomics – Developing machine learning methods and statistical models for feature selection, classification, anomaly detection, time series analysis, and multiomics data integration.

CEDAR is committed to increasing the diversity of the campus community. We at CEDAR are dedicated to promoting inclusion and multiculturalism to build a successful organization by having outstanding researchers of diverse backgrounds work together on multiple projects. We encourage high-risk, high-reward research projects because defeating cancer requires unproven, out-of-the-box thinking. Our research is milestone driven to ensure that each project is fulfilling its stated goals.

CEDAR funds its own research projects, expediting the process of discovery. Our research is milestone-driven to ensure that each project is fulfilling its stated goals. CEDAR offers a unique opportunity for outstanding, driven, and creative postdoctoral fellows to perform cutting edge and high-risk research, ranging from understanding basic cancer biology to developing novel technologies to aid detection. Our focus on early detection requires novel approaches to reliably identify small/rare signals in diverse data types, with an emphasis on minimally invasive sampling techniques.


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