Oregon Health & Science University

Postdoctoral Fellow

Job Locations US-OR-Portland
Requisition ID
2021-13093
Position Type
Regular Full-Time
Position Category
Postdoctoral
Job Type
Postdoctoral
Department
Knight Cancer Institute
Salary Range
DOE
FTE
1.00
Hours
8:30am to 5:00pm
Schedule
Monday through Friday
HR Mission
School of Medicine
Drug Testable
No

Department Overview

The OHSU Knight Cancer Institute, known as one of the pioneers in personalized cancer medicine, is an international leader in research and cancer treatment. Driven by its mission to end cancer as we know it, the institute is building upon its expertise in targeted treatments to advance the early detection of cancer when the disease is most treatable.

 

Every Knight Cancer employee is expected to embody our guiding principles:

  • We act BOLDLY—Breakthroughs require pushing the boundaries of science, exploring new frontiers, and thinking differently
  • We SUPPORT each other—Respect leads to trust, which leads to excellence
  • We work as a CONNECTED team — We must leverage our collective brain power to conquer cancer because no one individual can do it alone

Function/Duties of Position

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.

Required Qualifications

  • PhD with experience in the one of the following areas: genetics, bioengineering, biophysics, molecular biology, biochemistry, computational biology, computer science, machine learning or related fields
  • Minimum of 3 years as a graduate student
  • 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 own results and others to formulate hypotheses
  • Energy and drive to coordinate multiple projects simultaneously

Preferred Qualifications

  • 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 clearly communicate and collaborate with researchers from diverse backgrounds, including wet-lab and dry-lab scientists.

Additional Details

Apply online. Please be sure to upload a Cover Letter and Resume/CV.

Effective Oct. 18, 2021, all OHSU employees are required to be fully vaccinated against COVID-19 unless they have an approved medical or religious exception. If you are hired by OHSU after Oct. 18, you will need to be fully vaccinated (or obtain an approved exception) prior to starting work, and need to provide proof of vaccination (or approved exception) within 10 days of starting work.

#linkedin

All are welcome

Oregon Health & Science University values a diverse and culturally competent workforce. We are proud of our commitment to being an equal opportunity, affirmative action organization that does not discriminate against applicants on the basis of any protected class status, including disability status and protected veteran status. Individuals with diverse backgrounds and those who promote diversity and a culture of inclusion are encouraged to apply. To request reasonable accommodation contact the Affirmative Action and Equal Opportunity Department at 503-494-5148 or aaeo@ohsu.edu.


As an organization devoted to the health and well-being of people in Oregon and beyond, OHSU requires its employees to be fully vaccinated against COVID-19.

Options

Sorry the Share function is not working properly at this moment. Please refresh the page and try again later.
Share on your newsfeed