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Job Location drjobs

Portland - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Department Overview

Cancer Early Detection Advanced Research (CEDAR) center is a collaborative institution within the OHSU Knight Cancer Institute. The Knight Cancer Institute known as one of the pioneers in personalized cancer medicine is an international leader in research and cancer treatment. At CEDAR our mission is to detect and stop lethal cancers at the earliest stage because early detection saves lives. This is an ambitious goal one that requires novelty creativity and innovation. We are composed of biologists chemists biomedical engineers computational biologists and clinicians conducting groundbreaking translational cancer research to help people maintain a high quality of life and reduce cancer mortality to create a global early detection community and to have a positive impact on the Oregon economy.

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 highrisk highreward research projects because defeating cancer requires unproven outofthebox thinking. Our research is milestone driven to ensure that each project is fulfilling its stated goals.

The OHSU Fellowship for Diversity in Research seeks to address the need for increased representation of minoritized races/ethnicities in STEM at the postdoctoral level. Eligible candidates are encouraged to apply. Visit for more information.

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

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

Function/Duties of Position

CEDAR funds its own research projects expediting the process of discovery. Our research is milestonedriven 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 highrisk 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.

We are currently hiring for a highly motivated fellow with expertise in Computational Biology to work in the following areas. Candidate would primarily work with Dr. Ece Eksi Assistant Professor in the Division of Oncological Sciences with affiliations in the Biomedical Engineering and Cell Development and Cancer Biology departments.

  • Image computing Performing analysis of existing imaging data sets of prostate tumor samples using established pipelines and developing novel machine learning approaches. The successful candidate will have the opportunity to analyze singlecell multiplex imaging data sets and develop image computing pipelines to aid clinical decisionmaking processes in cancer diagnostics.
  • Machine Learning/Statistics Developing machine learning methods and spatial statistical models to study the organization of the cell types in the tumor microenvironment using cuttingedge spatial imaging datasets. Developed algorithms will be used to build predictive temporal models for patient stratification. Techniques such as spatial autocorrelation dimensionality reduction and clustering will be utilized.
  • Singlecell transcriptomics and epigenomics Modeling and analyzing nextgeneration sequencing datasets that measure the transcriptome and the epigenome specifically singlecell RNAseq and ATACseq. The successful candidate will use both existing tools and develop their own computational methods to analyze such datasets for the characterization of prostate and pancreatic tumors.

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Employment Type

Full-Time

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