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Department Overview
This position is focused on research-based computational and data-driven analysis of CRISPR screening datasets to study metabolic changes in cancer and other disease systems. Responsibilities include, but are not limited to, processing and analyzing large-scale CRISPR perturbation data, integrating CRISPR screening results with multi-omics datasets, developing computational pipelines to identify metabolic vulnerabilities and regulatory mechanisms, and supporting study coordination, data management, and related regulatory documentation.
Function/Duties of Position
- Processing and analyzing CRISPR screening data, including data curation, normalization, quality control, hit identification, and downstream statistical analysis using Python, R, and other relevant software tools.
- Integrating CRISPR perturbation data with transcriptomics, metabolomics, proteomics, and other omics datasets to identify metabolic pathway alterations, gene dependencies, and functional mechanisms.
- Assisting in the development and implementation of robust computational pipelines, algorithms, and reproducible workflows for analyzing CRISPR-based functional genomics data and metabolic phenotypes.
- Producing analytical summaries, reports, and data visualizations of CRISPR screening and multi-omics results, including statistical analyses, pathway enrichment results, gene dependency maps, and network-based interpretations.
- Maintaining rigorous quality control standards, keeping careful records, and working closely with other scientists to coordinate analyses, interpret results, and troubleshoot technical issues.
- Supporting the interpretation of screening results in the context of metabolic regulation, cellular adaptation, therapeutic response, and disease progression.
- Working independently within established guidelines, using sound judgment in decision-making, and communicating effectively as part of an interdisciplinary research team.
- Assisting with documentation and administrative tasks related to data access, protocol compliance, IRB-related paperwork, and other research regulatory requirements as needed.
Required Qualifications
PhD Degree in relevant field.
Experience or interest in data processing, text, numerical or imaging data analysis.
Experience with data analysis, high dimensional clinical or omics analysis, data visualization, and report generation.
Organizational skills, MS Office competency. Python, R, MATLAB, and C++ programming. Webserver and database development.
Ability to communicate effectively, relay issues and troubleshoot, problem solving abilities, and high attention to detail.
Preferred Qualifications
- Experience in CRISPR screening data analysis and applications in metabolism related diseases.
Experience with data management, and high dimensional data analysis.
Experience in software development and/or image analysis pipeline development
Experience in machine learning and/or deep learning.
- Knowledge of cloud computing, large language model, representational learning.
Why apply to OHSU?
We are Oregon's only public academic health center. In addition to caring for patients, we lead groundbreaking research. We also train the next generation of health care professionals. As Portland's largest employer, we give you opportunities to learn and advance in a system of hospitals and clinics across Oregon and Southwest Washington. All are welcome. OHSU welcomes people of all ages, ethnicities, genders, national origins, religions and sexual orientations. We are striving to build an anti-racist, multicultural institution and encourage people with diverse backgrounds to apply. To request reasonable accommodation, contact askhr@ohsu.eduLearn more about this Employer on their Career Site
