The primary mission of the Division of Oncological Sciences at OHSU's Knight Cancer Institute is to better understand cancer through basic, translational and population-based research that improves cancer prevention, detection and treatments for all. Our community of faculty, trainees and staff brings together scientists from a broad range of disciplines and works collaboratively to advance innovation and translate discoveries from the lab into meaningful impacts for cancer patients and our community.. Knight affiliates subscribe to three guiding principles: we are bold, we are supportive, and we work as a connected team in our fight to end cancer as we know it. We’d love for you to join us!
Every Knight Cancer employee is expected to embody our guiding principles:
An exciting opportunity has been created for a Computational Biologist, Level 1 to join the Anupriya Agarwal Laboratory at the OHSU Knight Cancer Institute, Portland, OR to study the mechanisms of leukemia initiation and drug resistance using single-cell multi-omics approaches.
Dr. Agarwal and her team for over past 20 years focusing on identifying novel signaling pathways that are requisite for leukemia initiation, clonal evolution, and drug resistance. The new team member will help lead the project focused on understanding the mechanisms of leukemia initiation and drug resistance in a context dependent manner. Applicants will need to possess strong technical and organizational skills as well as the ability to manage an independent project.
The position is in an interdisciplinary, collaborative, and highly translational environment in the OHSU Knight Cancer Institute. As a Computational Biologist, Level 1, you will be focusing on advancing early cancer detection and drug resistance. The work will concentrate on the discovery of new therapeutic targets in leukemia using single cell approaches. You will work with mentors who have experience in both biology and computational analysis aspects. You will support Agarwal Lab research by data preparation, analysis, and presentation. You would be assigned your own project(s). You will have a detailed knowledge of all aspects of data analysis, and you will be comfortable working both individually and in highly collaborative teams. You will possess good organizational and interpersonal skills.
Apply online. Please be sure to upload a Cover Letter and Resume/CV.
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