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.

 

Centered on team science, our research is organized around four areas: Precision Systems Oncology, Cancer Data Science (includes Computational Biology, Bioinformatics and Biostatistics), Chemical Biology and Experimental Therapeutics, and Cancer Data Science. A foremost priority is to better understand cell plasticity by gaining the ability to experimentally decipher transitions from normal to cancer, cancer to metastasis and metastasis to resistance.

 

 

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

The position will be responsible of a single-cell proteomics platform (Cyclic-immunofluorescence). The position will be responsible for developing the experimental plan, scanning samples with a fluorescent microscope and analyzing data obtained through the Cyclic-Immunofluorescence platform. Position will use pre-established protocols and analysis pipeline and will contribute to the development and expansion of the platform. The successful candidate will employ sound experimental design and problem solving to create workflow that produces robust analyses, as well as collaborate with collaborators to deliver product meeting project objectives.

The position will also be responsible for analyzing results of reverse phase protein array (RPPA) assays to generate data reports. The position will use a pre-established analysis pipeline and will contribute to the development of analysis pipeline and standardized data report output.

The position may also help coordinate the schedules of shared microscope resources at OHSU. Experience with antibody-based assays and imaging techniques (immunofluorescence or immunohistochemistry) and single-cell analysis is preferable. Experience with imaging analysis, python, MATLAB and/or R is required.

• PhD in Computational Biology or related field OR Master's Degree in Computational Biology or related field AND 6 years of relevant experience
• Equivalent combination of Bachelor's in relevant field in conjunction with training and experience may be considered

• Bachelor’s degree 9 years of relevant work experience
• Tissue imaging (IF or IHC)
• Coding on python, MATLAB and/or R
• Cancer biology, antibody validation, immunofluorescence, imaging software and fluorescence microscope/slide scanner
• Single-cell analysis

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

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

 

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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.