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Data Science Visualization Jobs in Portland, OR (NOW HIRING)

Sonoma Consulting Inc.

BI Developer

Portland, OR

Position Summary: Provide timely, accurate and actionable data to ensure successful business ... Bachelor's Degree in Computer Science or related field of study. Minimum of 3 years of experience ...

Pwc

Data Engineer - Senior Associate

Portland, OR

$77K - $202K/yr

... visualization - Implementing data security best practices to protect sensitive information and ... Management Information Systems, Computer and Information Science, Systems Engineering, Electrical ...

Deloitte

Editor, Consumer Industry

Portland, OR

As an editor for Deloitte Insights, you'll work with subject matter specialists, researchers, data science and visualization professionals, designers, video strategists, and production specialists to ...

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All JobsData Science Visualization JobsData Science Visualization Jobs in Portland, OR

Data Science Visualization information

See Portland, OR salary details

$57.3K

$116.1K

$171.3K

How much do data science visualization jobs pay per year?

As of Jul 23, 2026, the average yearly pay for data science visualization in Portland, OR is $116,073.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,400.00 and $130,400.00 per year, depending on experience, location, and employer.

What is Data Science Visualization?

Data Science Visualization refers to the practice of creating graphical representations of data and analytical results to make complex information more understandable and actionable. Data visualization helps data scientists communicate insights, identify patterns, and inform decision-making by presenting data in charts, graphs, maps, and interactive dashboards. It bridges the gap between technical analyses and non-technical stakeholders, enabling clearer communication and more effective storytelling with data.

What are the key skills and qualifications needed to thrive as a Data Science Visualization specialist, and why are they important?

To thrive in Data Science Visualization, you need a strong grasp of data analysis, statistics, and data storytelling, often supported by a degree in computer science, statistics, or a related field. Proficiency with visualization tools like Tableau, Power BI, or D3.js as well as programming languages such as Python or R is typically required. Creativity, attention to detail, and effective communication are valuable soft skills for translating complex data into clear, actionable visuals. These skills are crucial for transforming raw data into insights that drive informed business decisions.

What is the difference between Data Science Visualization vs Data Analyst?

AspectData Science VisualizationData Analyst
Required SkillsData visualization tools, programming (Python, R), statistical knowledgeExcel, SQL, basic statistics, data reporting
Work EnvironmentData science teams, research projects, advanced analyticsBusiness units, reporting, data cleaning
Industry UsageTech, finance, healthcare, researchRetail, marketing, finance, operations

Data Science Visualization focuses on creating advanced visual representations of complex data sets using programming and statistical tools, often within data science teams. Data Analysts primarily generate reports and dashboards using tools like Excel and SQL for business decision-making. While both roles involve data visualization, Data Science Visualization emphasizes technical, programming-based visualizations for in-depth analysis, whereas Data Analysts focus on accessible reports for business insights.

How does a Data Science Visualization specialist typically collaborate with data scientists and other stakeholders during a project?

Data Science Visualization specialists play a key role in bridging the gap between complex data analysis and actionable insights. They often work closely with data scientists to understand the underlying data models and results, and then collaborate with business stakeholders to ensure visualizations are tailored to the audience's needs. Regular meetings, feedback sessions, and iterative design processes are common, enabling effective communication and ensuring that visual outputs are both accurate and impactful. This collaborative environment helps ensure that data-driven insights are easily understood and used for decision-making across the organization.
What are popular job titles related to Data Science Visualization jobs in Portland, OR? For Data Science Visualization jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Data Science Visualization jobs in Portland, OR look for? The top searched job categories for Data Science Visualization jobs in Portland, OR are:
What cities near Portland, OR are hiring for Data Science Visualization jobs? Cities near Portland, OR with the most Data Science Visualization job openings:
Data Science Visualization jobs near you
Infographic showing various Data Science Visualization job openings in Portland, OR as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $116,073 per year, or $55.8 per hour.
Postdoctoral Scholar

Postdoctoral Scholar

Oregon Health & Science University

Portland, OR

Full-time

Posted yesterday

Oregon Health & Science University rating

8.1

Company rating: 8.1 out of 10

Based on 95 frontline employees who took The Breakroom Quiz

134th of 560 rated colleges and universities

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.
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.eduEmployment Type: FULL_TIME

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About Oregon Health & Science University

Sourced by ZipRecruiter

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

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