Computational Biologist 1
About The Position
The Division of Oncological Sciences at OHSU's Knight Cancer Institute focuses on understanding cancer through various research methods, aiming to improve cancer prevention, detection, and treatment. The division's research is conducted by a collaborative team of scientists, faculty, trainees, and staff from diverse backgrounds, working together to translate lab discoveries into real-world benefits for cancer patients. Their research is built around teamwork and covers four key areas: Precision Systems Oncology, Cancer Data Science (including computer biology, bioinformatics, and biostatistics), Chemical Biology and Experimental Therapeutics, and Cancer Population Science. A major priority is to understand cell plasticity, the ability of cells to change their type or identity, particularly how cells transition from normal to cancerous, from cancer to spreading (metastasis), and from metastasis to becoming resistant to treatment.
Requirements
- 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
- Demonstrated proficiency with data analysis and bulk and single-cell RNA-seq workflows, including quality control, normalization, differential expression analysis, dimensionality reduction, clustering, or cell-state analysis.
- Sustained experience working and communicating effectively within an interdisciplinary collaborative team with wet-lab scientists and computational biologists.
- Demonstrated experience generating clear data visualizations and publication-quality figures for manuscripts, grants, and presentations.
- Proficiency in R, Python, and Bash, with experience using relevant tools such as RStudio, Seurat, DESeq2, FastQC.
- Demonstrated skills in biological pathways analysis and visualization (GSEA, IPA, Cytoscape) and interpretation of omic datasets.
- Demonstrated ability to organize, present and interpret results from computational analysis.
- Track record of effective collaboration with wet-lab scientists.
- Track record of maintaining organized, reproducible, and well-documented analysis workflows.
- Demonstrated ability to communicate computational methods and results through writing and publication-ready figures for manuscripts, grants, and presentations.
Nice To Haves
- Master’s Degree in Computational Biology AND 2 years of relevant experience
- Knowledge of tumor imaging analysis and tools such as QuPath, Living Image, and MCMICRO.
Responsibilities
- Contribute to a project evaluating computational methods that predict drug response in heterogeneous cell populations.
- Work to complete an existing project in the lab that aims to publish the first computational benchmark of single-cell omics methods for drug response prediction.
- Design and maintain software pipelines for evaluation of computational approaches and downstream analysis of their results.
- Coordinate with the team in goal setting, milestone completion and generation of publication-ready figures to support manuscripts, grants and publications.
- Drive the completion of a scientific publications summarizing the findings of the benchmark project.
Benefits
- 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
- 25 days a year of paid time off
- 8 days of sick time off
- 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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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
Associate degree
