Postdoctoral Scholar

Oregon Health & Science University • Portland, OR

6h

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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

Responsibilities

• 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.

What This Job Offers

• Job Type: Full-time
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees