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Computational Modeling Jobs in Oregon (NOW HIRING)

Ability to explain modeling techniques for physical systems, approximation methods, and stability analysis while preparing students for engineering, physics, finance, and computational science ...

Ability to explain modeling techniques for physical systems, approximation methods, and stability analysis while preparing students for engineering, physics, finance, and computational science ...

Applied Mathematics Tutor

OR · Remote

$18 - $40/hr

Ability to explain modeling techniques for physical systems, approximation methods, and stability analysis while preparing students for engineering, physics, finance, and computational science ...

Scientist - Endometrial Biology

Portland, OR · On-site

$37.50 - $47/hr

We operate at the intersection of biology, engineering, and computational science, building integrated platforms that combine advanced tissue models, adaptive culture systems, and automated ...

We operate at the intersection of biology, engineering, and computational science, building integrated platforms that combine advanced tissue models, adaptive culture systems, and automated ...

Rhino Tutor

Portland, OR · Remote

$18 - $40/hr

Adapts instruction using step-by-step modeling tutorials, Grasshopper algorithm exercises, and fabrication projects to support students from Rhino beginners through advanced computational designers ...

Rhino Tutor

Eugene, OR · Remote

$18 - $40/hr

Adapts instruction using step-by-step modeling tutorials, Grasshopper algorithm exercises, and fabrication projects to support students from Rhino beginners through advanced computational designers ...

Rhino Tutor

OR · Remote

$18 - $40/hr

Adapts instruction using step-by-step modeling tutorials, Grasshopper algorithm exercises, and fabrication projects to support students from Rhino beginners through advanced computational designers ...

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Computational Modeling information

See Oregon salary details

$43

$58

$78

How much do computational modeling jobs pay per hour?

As of Jul 2, 2026, the average hourly pay for computational modeling in Oregon is $58.07, according to ZipRecruiter salary data. Most workers in this role earn between $49.57 and $77.79 per hour, depending on experience, location, and employer.

What jobs in the US pay 300,000 a year?

In computational modeling, senior roles such as lead data scientist, quantitative analyst, or research scientist with extensive experience and advanced skills in programming, machine learning, and statistical analysis can reach or exceed a $300,000 annual salary. These positions often require advanced degrees, strong domain expertise, and may be found in finance, technology, or research institutions. Compensation varies based on industry, location, and level of responsibility.

What is a Computational Modeling job?

A Computational Modeling job involves developing and using mathematical models, simulations, and algorithms to analyze complex systems across various fields, such as engineering, physics, biology, and finance. Professionals in this role apply computational techniques to study real-world phenomena, predict outcomes, and optimize processes. They often work with programming languages, statistical methods, and high-performance computing to create accurate and efficient models.

Is 3D modeling a high paying job?

3D modeling can be a well-paying career, especially for experienced professionals working in industries like gaming, film, or product design. Salaries vary based on skill level, industry, location, and the complexity of projects, with advanced 3D modelers often earning higher wages and working with specialized software such as Blender or Maya.

What is the highest paying job in computational biology?

The highest paying roles in computational biology are often senior positions such as Director of Computational Biology or Principal Scientist, which can earn six-figure salaries. These roles typically require advanced degrees, extensive experience, and expertise in areas like machine learning, bioinformatics tools, and programming languages such as Python or R.

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

To thrive in computational modeling, a strong background in mathematics, computer science, and domain-specific knowledge (such as engineering, physics, or biology) is essential, often supported by at least a bachelor's or master's degree in a related field. Familiarity with programming languages like Python, MATLAB, or R, as well as experience with simulation software and data analysis tools, is typically required. Strong problem-solving, analytical thinking, and effective communication skills set outstanding candidates apart. These abilities enable professionals to build accurate models, collaborate successfully with interdisciplinary teams, and translate complex results into actionable insights.

What does a typical day look like for someone working in computational modeling?

A typical day for a computational modeling professional often involves developing and refining mathematical or computer-based models, running simulations, and analyzing large datasets to draw meaningful conclusions. You’ll collaborate closely with domain experts, engineers, and researchers to ensure models accurately reflect real-world processes. The role may also involve presenting findings to stakeholders, troubleshooting code or software issues, and keeping up with new modeling techniques and industry advancements. This dynamic environment requires balancing independent problem-solving with teamwork and communication.

What is a computational modeler?

A computational modeler is a professional who develops and uses computer-based models to simulate complex systems or processes. They often work with programming languages, mathematical algorithms, and data analysis tools to create accurate representations for research, engineering, or scientific purposes.
What are the most commonly searched types of Computational Modeling jobs in Oregon? The most popular types of Computational Modeling jobs in Oregon are:
What are popular job titles related to Computational Modeling jobs in Oregon? For Computational Modeling jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Computational Modeling jobs in Oregon look for? The top searched job categories for Computational Modeling jobs in Oregon are:
What cities in Oregon are hiring for Computational Modeling jobs? Cities in Oregon with the most Computational Modeling job openings:
Infographic showing various Computational Modeling job openings in Oregon as of June 2026, with employment types broken down into 100% Full Time. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $120,794 per year, or $58.1 per hour.

Bioinformatics Scientist - Gene Regulation & Cellular Reprogramming

e184

Portland, OR • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago


Job description

About us
e184 Repro is a biotechnology research company with the mission of advancing in vitro gametogenesis to solve one of biology's most profound challenges: returning the fundamental right to procreate.
We work at the frontier of cutting-edge technology, integrating cellular reprogramming, machine learning-guided optimization, multi-omics analysis, and automated experimental workflows to enable gamete development for individuals facing reproductive challenges.
Role overview
As a Bioinformatics Scientist with a cellular reprogramming background, you will lead computational analysis of multi-modal genomics data (scRNA-seq, ATAC-seq) to identify transcription factor combinations driving desired cell state conversion. This role focuses on gene regulatory network inference, differential analysis of single-cell transcriptomics, and computational prioritization of TF cocktails for cellular reprogramming, requiring deep expertise in multi-platform scRNA-seq analysis and transcriptional regulation biology. You will collaborate closely with wet lab teams to translate computational predictions into experimental designs, while also exploring hybrid approaches that integrate foundation model insights into our reprogramming pipeline.
What you'll do
  • Lead end-to-end TF discovery for cellular reprogramming - from multi-platform single-cell genomics analysis (scRNA-seq, ATAC-seq) through GRN inference, differential analysis, and trajectory mapping - to nominate the regulators that flip cell fate.
  • Crack the combinatorial code of reprogramming by ranking TF cocktails as actionable combinations and decoding pooled perturbation and CRISPRa screens at single-cell resolution.
  • Read regulatory grammar straight off the chromatin - accessibility, motifs, synergy, repression - and build the data backbone that harmonizes modalities and platforms into something we can actually model on.
  • Sit shoulder-to-shoulder with wet lab teammates, closing the loop between predictions and screens: ingest fresh NGS readouts, retrain, re-prioritize, and pick the next experiment that teaches the model the most.

Core requirements
  • PhD in Bioinformatics, Computational Biology, or related quantitative field (or MS with 5+ years relevant industry experience);
  • Demonstrated track record applying computational TF ranking and GRN inference to cellular reprogramming problems, transdifferentiation, directed differentiation, or iPSC systems;
  • Multi-platform single-cell RNA-seq expertise: hands-on analysis from at least two different platforms, including platform-specific troubleshooting and quality control;
  • Multi-modal genomics proficiency: ChIP-seq, CUT&RUN, or ATAC-seq analysis including peak calling, differential accessibility, and TF motif enrichment;
  • Hands-on experience with established GRN inference methods to nominate or rank regulators of cell state, beyond literature-curated lists;
  • Experience analyzing pooled perturbation screens (CRISPRa, CRISPR knockout, or barcoded TF overexpression) with single-cell or bulk readouts;
  • Working knowledge of trajectory inference and pseudotime methods for mapping cell state transitions;
  • Strong programming skills in Python and R, with proficiency in Scanpy/Seurat and statistical analysis for high-dimensional data;
  • Comfortable working in a modern computational environment: cloud platforms, workflow managers, containerization, and collaborative version control;
  • Strong publication record and demonstrated cross-functional collaboration with experimental biologists.

You'll stand out with
  • Direct experience nominating or validating TF cocktails that successfully induced a cell state conversion (published or in preparation).
  • Experience with dynamical systems modeling for cell state transitions, or inverse problem approaches for TF combination ranking.
  • Background in advanced trajectory inference (optimal transport, GRN dynamics over pseudotime), Bayesian genomics, multi-omics integration, or cross-species comparative regulatory genomics.
  • Familiarity with transformer architectures in genomics and interest in hybrid classical/ML approaches to gene regulation.

Why e184?
  • Unrivaled impact: Your work directly enables technology that transforms human fertility and reproductive medicine.
  • Full-spectrum growth: Gain exposure to the entire lifecycle of discovery. From screening to mechanistic validation.
  • Best of both worlds: Experience the creative chaos of an early-stage startup with the stability of a well-capitalized company.
  • Elite collaboration: Work alongside a world-class team who are as driven as you are.

What we offer
  • Competitive salary + equity participation is considered
  • State-of-the-art facility in Portland metro area
  • Comprehensive Medical, Dental, Vision, and 401(k) with company match
  • 20 days PTO + 11 paid holidays

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.