Postdoctoral Scholar

UNAVAILABLE; Portland (OR); On-site; USD 70,000 - 100,000; Full time

Job summary

A research position focused on computational and data-driven analysis of CRISPR screening datasets is available. This role involves processing large-scale data to study metabolic changes in cancer and other diseases.

Candidates should have a PhD in a relevant field and experience with data analysis, including Python and R programming. The position supports interdisciplinary research aims and offers a collaborative environment.

Qualifications

• PhD in a relevant field is required.
• Experience in data analysis and high-dimensional clinical data.
• Competence in programming with Python, R, MATLAB, and C++.

Responsibilities

• Process and analyze CRISPR screening data, ensuring quality control.
• Integrate CRISPR perturbation data with multi-omics datasets.
• Develop and implement computational pipelines and workflows.
• Produce analytical summaries, reports, and visualizations.
• Support regulatory documentation and data management tasks.

Skills

Data processing

Data analysis

Organizational skills

Python

R

MATLAB

C++

Data visualization

Education

PhD Degree in relevant field

Tools

Databases

Webserver development

Job description

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.

All are welcome.

To request reasonable accommodation, contact [e-mail]