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Omics Jobs in Oregon (NOW HIRING)

Facilitate the integration of omics data with other types of data (clinical, demographic, etc.) to enrich the analyses. Manage large datasets and ensure data integrity and confidentiality. * AI ...

Core experience developing machine learning models for biomedical applications, specifically in medical imaging, computational pathology, genomics, transcriptomics, multi-omics, or molecular ...

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Omics information

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$5

$36

$59

How much do omics jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for omics in Oregon is $36.75, according to ZipRecruiter salary data. Most workers in this role earn between $20.58 and $57.16 per hour, depending on experience, location, and employer.

What is an omics?

An Omics job involves studying large-scale biological data related to fields such as genomics, proteomics, metabolomics, or transcriptomics. Professionals in Omics analyze complex biological datasets to understand gene expression, protein functions, metabolic pathways, and their impact on health or disease. These roles often require expertise in bioinformatics, data science, and laboratory techniques. Omics jobs are found in research institutions, biotechnology companies, and healthcare organizations, contributing to advancements in personalized medicine and drug discovery.

What are the key skills and qualifications needed to thrive in omics, and why are they important?

To thrive in an Omics role, you need a solid background in molecular biology, genomics, or bioinformatics, usually supported by an advanced degree such as a Master's or PhD. Familiarity with data analysis tools (such as R, Python, and specialized software like Galaxy or GeneSpring), laboratory techniques, and next-generation sequencing platforms is essential. Strong analytical thinking, attention to detail, and effective communication skills are valuable soft skills. These abilities are critical for accurately interpreting complex biological data and collaborating with multidisciplinary teams to advance scientific research or clinical solutions.

What types of projects or research areas do professionals in omics work on?

Professionals in Omics typically work on projects involving large-scale analysis of biological data, such as genomics, proteomics, metabolomics, or transcriptomics studies. Their work may include identifying genetic variants, understanding disease mechanisms, discovering biomarkers, or contributing to personalized medicine initiatives. Day-to-day responsibilities can involve designing experiments, running high-throughput sequencing, analyzing complex datasets, and collaborating with biologists, clinicians, and data scientists. This collaborative and data-driven environment offers opportunities to make significant scientific contributions and build expertise in rapidly evolving fields.

Infographic showing various Omics job openings in Oregon as of August 2026, with employment types broken down into 63% Full Time, 36% Part Time, and 1% Contract. Highlights an 51% Physical, 2% Hybrid, and 47% Remote job distribution, with an average salary of $76,430 per year, or $36.7 per hour.

Full-time

Re-posted 2 days ago


Oregon Health & Science University rating

8.1

Company rating: 8.1 out of 10

Based on 95 frontline employees who took The Breakroom Quiz

168th of 622 rated colleges and universities


Job description

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.


  • 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.

  • 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.


  • 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.

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.edu

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About Oregon Health & Science University

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Oregon Health & Science University (OHSU) is a distinguished institution under the industry of higher education and healthcare, specifically in the field of medical science. Based in Portland, Oregon, US, it maintains a reputation for promoting research, teaching, patient care, and outreach. Established in 1887, OHSU has continually sought to redefine the parameters of healthcare delivery and biomedical discovery through its expansive catalog of programs and initiatives. A galvanizing mission drives OHSU: to improve the health and quality of life for all Oregonians through excellence, innovation, and leadership in health care, education, and research.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Portland, OR, US

Year founded

1887