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Knowledge Graph Jobs in Oregon (NOW HIRING)

DMI

$54 - $74.25/hr

Integrations (REST, SOAP, Service graph connectors) * * Apply platform best practices and adhere to ... Support knowledge transfer and maintain accurate project documentation. * Continuous Improvement

Varsity Tutors

AP Macroeconomics Tutor

OR · Remote

$18 - $40/hr

Deep knowledge of basic economic concepts, measuring economic performance, national income and ... Adapts instruction using current economic data, AP-style graph-based practice, and policy analysis ...

Varsity Tutors

Microeconomics Tutor

OR · Remote

$18 - $40/hr

Deep knowledge of supply and demand analysis, consumer theory, production and cost functions ... Adapts instruction using graph-drawing practice, real-world market examples, and problem-based ...

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AP Macroeconomics Tutor

Eugene, OR · Remote

$18 - $40/hr

Deep knowledge of basic economic concepts, measuring economic performance, national income and ... Adapts instruction using current economic data, AP-style graph-based practice, and policy analysis ...

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AP Microeconomics Tutor

OR · Remote

$18 - $40/hr

Deep knowledge of basic economic concepts including scarcity and opportunity cost, supply and ... Adapts instruction using graph-drawing practice, real-world market examples, and AP-style ...

Varsity Tutors

GED Math Tutor

Eugene, OR · Remote

$18 - $40/hr

Deep knowledge of GED Mathematical Reasoning content including basic arithmetic, fractions ... and graph interpretation for the GED Math test. Guides students through solving multi-step ...

Varsity Tutors

SAT Math Tutor

OR · Remote

$24 - $40/hr

Deep knowledge of SAT Math topics including linear equations, systems, inequalities, algebraic ... Guides students through word problem translation, equation setup, graph interpretation, and ...

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Microeconomics Tutor

Portland, OR · Remote

$18 - $40/hr

Deep knowledge of supply and demand analysis, consumer theory, production and cost functions ... Adapts instruction using graph-drawing practice, real-world market examples, and problem-based ...

Varsity Tutors

GED Math Tutor

OR · Remote

$18 - $40/hr

Deep knowledge of GED Mathematical Reasoning content including basic arithmetic, fractions ... and graph interpretation for the GED Math test. Guides students through solving multi-step ...

Varsity Tutors

GED Math Tutor

Portland, OR · Remote

$18 - $40/hr

Deep knowledge of GED Mathematical Reasoning content including basic arithmetic, fractions ... and graph interpretation for the GED Math test. Guides students through solving multi-step ...

Varsity Tutors

College Computer Science Tutor

Eugene, OR · Remote

$18 - $40/hr

Advanced Subject Mastery: Deep knowledge of data structures, algorithms, object-oriented ... Ability to explain time complexity analysis, sorting algorithms, graph traversal, memory management ...

Varsity Tutors

AP Macroeconomics Tutor

Portland, OR · Remote

$18 - $40/hr

Deep knowledge of basic economic concepts, measuring economic performance, national income and ... Adapts instruction using current economic data, AP-style graph-based practice, and policy analysis ...

Varsity Tutors

College Computer Science Tutor

OR · Remote

$18 - $40/hr

Advanced Subject Mastery: Deep knowledge of data structures, algorithms, object-oriented ... Ability to explain time complexity analysis, sorting algorithms, graph traversal, memory management ...

Varsity Tutors

Microeconomics Tutor

Eugene, OR · Remote

$18 - $40/hr

Deep knowledge of supply and demand analysis, consumer theory, production and cost functions ... Adapts instruction using graph-drawing practice, real-world market examples, and problem-based ...

Varsity Tutors

AP Microeconomics Tutor

Eugene, OR · Remote

$18 - $40/hr

Deep knowledge of basic economic concepts including scarcity and opportunity cost, supply and ... Adapts instruction using graph-drawing practice, real-world market examples, and AP-style ...

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All JobsKnowledge Graph JobsKnowledge Graph Jobs in Oregon

Knowledge Graph information

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

To thrive as a Knowledge Graph Engineer, you need strong skills in semantic web technologies, ontology modeling, and data integration, typically supported by a background in computer science or data science. Familiarity with tools like RDF, SPARQL, OWL, and knowledge graph platforms (e.g., Neo4j, GraphDB) is common, and certifications in data engineering or semantic technologies are beneficial. Effective communication, problem-solving abilities, and cross-functional collaboration are valuable soft skills in this field. These competencies are crucial for designing, implementing, and maintaining knowledge graphs that enable advanced data discovery and insights for organizations.

Is ML a high paying job?

Machine Learning (ML) roles, including positions like ML engineer or data scientist, are generally well-paid due to the specialized skills required, such as programming, statistics, and knowledge of algorithms. Salaries tend to be higher than average in tech hubs and often increase with experience, certifications, and proficiency in tools like Python, TensorFlow, or PyTorch.

What is a knowledge graph job description?

A knowledge graph job description typically involves designing, developing, and maintaining knowledge graphs that organize and connect data for improved search, reasoning, and data integration. The role often requires skills in data modeling, graph databases like Neo4j, and understanding of semantic technologies such as RDF and OWL. Professionals in this field may work with data scientists, software engineers, and domain experts to ensure accurate and efficient knowledge representation.

What is a Knowledge Graph job?

A Knowledge Graph job typically involves designing, building, and maintaining structured representations of data that map relationships between entities. Professionals in this role work with technologies like RDF, SPARQL, ontologies, and graph databases to enhance data integration, retrieval, and reasoning. These jobs are common in AI, search, and data science fields, helping organizations improve knowledge discovery and decision-making.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, senior machine learning engineer, or AI product executive, often requiring advanced skills in data science, programming, and deep learning. These roles usually involve leadership, strategic planning, and expertise in tools like TensorFlow or PyTorch, with compensation reflecting experience and impact. Such salaries are rare and generally found in top tech companies or specialized AI firms.

What engineer makes $500,000 a year?

Senior data engineers or machine learning engineers working in high-demand industries such as technology, finance, or AI can earn salaries around $500,000 annually, especially with extensive experience, advanced skills in big data tools, and relevant certifications. Compensation varies based on location, company size, and individual expertise.

What are some typical daily responsibilities of a Knowledge Graph Engineer?

As a Knowledge Graph Engineer, your typical day involves designing and developing ontologies, integrating diverse data sources, and implementing graph-based data models to enhance information accessibility. You may work closely with data scientists, software developers, and business analysts to gather requirements and translate them into scalable knowledge graph solutions. Regular tasks include writing SPARQL queries, performing data mapping, maintaining documentation, and troubleshooting graph data issues. Collaboration and ongoing learning are integral as this field rapidly evolves with new tools and best practices.

What are the most commonly searched types of Knowledge Graph jobs in Oregon? The most popular types of Knowledge Graph jobs in Oregon are:
What job categories do people searching Knowledge Graph jobs in Oregon look for? The top searched job categories for Knowledge Graph jobs in Oregon are:
Knowledge Graph jobs near you
Infographic showing various Knowledge Graph job openings in Oregon as of June 2026, with employment types broken down into 3% Full Time, 87% Part Time, 9% Contract, and 1% Nights. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution.
Director, Statistical Programming

Director, Statistical Programming

Mineralys Therapeutics

OR • Remote

$235K - $248K/yr

Other

Medical, Dental, Vision, Retirement

Posted 10 days ago

Job description

"Mineralys Therapeutics is a clinical-stage biopharmaceutical company focused on developing medicines to target hypertension and related comorbidities such as chronic kidney disease (CKD), obstructive sleep apnea (OSA) and other diseases driven by dysregulated aldosterone.  Its initial product candidate, lorundrostat, is a proprietary, orally administered, highly selective aldosterone synthase inhibitor.  Mineralys is headquartered in Radnor, Pennsylvania. For more information, please visit https://mineralystx.com. Follow Mineralys on LinkedIn, Twitter and Bluesky"

Mineralys is a fully remote company.

Director Statistical Programmer 

The Director Statistical Programing (SP) reports to the SVP, Biometrics and is accountable for the production of SDTM and ADAM datasets and Tables, Listings, and Graph output (TFLs) for clinical studies. They will collaborate with partner functions in the Clinical Development Department (e.g. Clinical Operations, Clinical Research, Biostatisticians). They will be accountable for Medical Affairs support by providing output for posters, presentations, and publications.

Key Responsibilities:

  • Accountable for all core SP deliverables (SDTM, ADAM, TFLs)
  • May also be accountable for clinical programming tasks (creation of SDTM and complex edit checks)
  • Provides ongoing data review by providing programmed edit checks, risk-based monitoring metrics, and draft TFLs
  • With IT, defines our programming environment and its validation
  • Responsible for the development of standards, SOPs, and best practices
  • The role is a combination of vendor oversight, supervision of more junior statistical programmers, and some hands-on work.
  • The Director SP will supervise assigned junior programmers, both contractors and regular staff members.

Qualifications

  • BS/BA degree and 10+ years of experience in analyzing clinical data OR
  • MS in statistics or related area and 7+ years of experience in analyzing clinical data.
  • Experience with FDA submissions and the provision of data submission packages
  • Experience in multiple areas outside of clinical development (e.g. pre-clinical, medical affairs, RWE)
  • Deep knowledge of the SAS programming language
  • Demonstrated accomplishments in automatization (usually through SAS macro development)
  • Working knowledge of at least one other programming language, preferably R
  • Experience with using genAI to create programming code or data processing algorithms.
  • Ability to work in an interdisciplinary team in a collaborative way
  • Represents biometrics in a positive and professional manner
  • Ability to work in a fast-paced team environment with fluctuating priorities
  • Common sense and solution-oriented mindset
  • Intellectual curiosity with a sense of pragmatic implementation of new ideas
  • Ability to communicate effectively in English, both orally and in writing.

Core Competencies

  • Strong understanding of clinical development processes and regulatory expectations
  • Ability to lead and influence in a matrixed environment
  • Demonstrated ability to balance urgency with quality
  • Analytical rigor with a pragmatic, execution-oriented mindset

Travel

  • This position requires up to 10% travel. Frequently travel is outside the local area and overnight.

This position is eligible for standard Company benefits including medical, dental, vision, time off and 401K, as well as participating in Mineralys incentive plans are contingent on achievement of personal and company performance. Actual compensation may vary from posted hiring range based on geographic location, work experience, education, and/or skill level.

US Salary Range:  $235,000 - $248,000

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