Ngo lab is looking for highly motivated Postdocs, Graduate Students, Undergrads, and Research Assistants to join.
Please email Dr. Ngo ([email protected]) with your CV and cover letter.
Postdocs: Please follow this link to apply
Research Assistants: Please follow this link to apply
Graduate Students: Dr. Ngo recruits Ph.D. students with full RA support (competitive stipend and full tuition cover) through the Biomedical Engineering Department (BME) and the Program in Biomedical Sciences (PBMS).
Undergrads: Please email Dr. Ngo directly to apply for a paid internship position
Candidates would work in the following areas.
Please email Dr. Ngo ([email protected]) with your CV and cover letter.
Postdocs: Please follow this link to apply
Research Assistants: Please follow this link to apply
Graduate Students: Dr. Ngo recruits Ph.D. students with full RA support (competitive stipend and full tuition cover) through the Biomedical Engineering Department (BME) and the Program in Biomedical Sciences (PBMS).
Undergrads: Please email Dr. Ngo directly to apply for a paid internship position
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 modeling, 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 the 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, characterize them physically, and measure them at single complex levels 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 current tools and develop their computational methods to analyze such datasets to characterize 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 multi-omics data integration.
- Self-motivated, hardworking, and eager to learn new skills
- Passion for science and inquiry
- Excellent communication, analytical and organizational skills
- Ability to work independently and as part of a team while being collaborative in resolving problems
- Ability to synthesize one’s results and others to formulate hypotheses
- Energy and drive to coordinate multiple projects simultaneously
- Experience with molecular and cellular biology and immunology
- Experience with handling low input biological materials
- Experience with DNA and RNA analysis and next-generation sequencing
- Experience in developing computational approaches for modeling genomics data, pathway analysis, deep learning, classification, anomaly detection, and time series analysis.
- Ability to communicate and collaborate with researchers from diverse backgrounds, including wet-lab and dry-lab scientists.