Data Analytics Trainee Jobs in Oregon (NOW HIRING)

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:

• 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

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.

• Master's Degree in Computational Biology or related field OR Bachelor's Degree in Computational Biology or related field AND 3 years of relevant experience
• Experience with analysis of ‘omic data (genomic, transcriptomic, proteomic etc.), particularly for target or biomarker discovery
• Experience in implementing statistical methods as appropriate for dataset treatment (e.g. quality inspection, normalization, differential feature detection, etc.)
• Experience in developing pipelines to support analytics as described to additionally facilitate improved data management, and to generate complete workflows that are reproducible and scalable
• High-level competency in an appropriate programming language (R or Python ideally)
• An understanding of a variety of sophisticated statistical methods for data treatment
• Usage of structured engineering methods for specifying, designing, and implementing systems and pipelines in high performance computing environments
• Ability to prioritize multiple tasks at one time

• Relevant coursework
• Single-cell analysis
• PhD’s Degree in Computational Biology, Bioinformatics or related field
• Experience with or knowledge regarding proteomics data (e.g. from mass spectrometry) would be a bonus but is NOT required and should not be a deterrence from applying
• Experience with machine learning a bonus but not required
• A passion for open-access innovation

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

We offer a variety of benefits on top of joining a thriving organization:

• Medical, dental and vision coverage at no or low cost to employees
  • Covered 100% for full-time employees and 88% for dependents
• Several retirement plans to choose from with contributions from OHSU
• 208 hours of PTO per year
• 8 days of sick time off
• 9 paid holidays per year
• Commuter subsidies
• Tuition reimbursement
• Access to group life insurance, disability insurance and other supplemental benefits
• Annual Merit Increase
• Growth/Development Opportunities
• Employee discounts to local and major businesses

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