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Cellular Engineering Jobs in Portland, OR (NOW HIRING)

e184

Scientist - Endometrial Biology

Portland, OR

$37.50 - $47/hr

We operate at the intersection of biology, engineering, and computational science, building ... Characterize cellular and molecular responses: Apply imaging, histology, transcriptomics, and ...

e184

Scientist - Endometrial Biology

Portland, OR · On-site

$37.50 - $47/hr

We operate at the intersection of biology, engineering, and computational science, building ... Characterize cellular and molecular responses: Apply imaging, histology, transcriptomics, and ...

Mountain Ltd.

OSP Construction Inspector

Tigard, OR · On-site

... cellular phone. * Perform inspections, audits, and transfers manually by the use of printed ... engineering excellence since 1979 Thank you for your interest in Mountain Ltd. For more career ...

System One

OSP Construction Inspector

Fairview, OR · On-site

... cellular phone. * Perform inspections, audits, and transfers manually by the use of printed ... Join our team and become part of a legacy that has been at the forefront of engineering excellence ...

GridStor

Sr. Network Engineer

Portland, OR · On-site

$110K - $150K/yr

Own and execute network engineering for projects in late-stage development through construction ... cellular devices, and fiber optic infrastructure; integrate with SCADA/EMS protocols like Modbus ...

Gridstor

Sr. Network Engineer

Portland, OR · On-site

$110K - $150K/yr

Own and execute network engineering for projects in late-stage development through construction ... cellular devices, and fiber optic infrastructure; integrate with SCADA/EMS protocols like Modbus ...

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All JobsCellular Engineering JobsCellular Engineering Jobs in Portland, OR

Cellular Engineering information

See Portland, OR salary details

$77.4K

$137.3K

$264.1K

How much do cellular engineering jobs pay per year?

As of Jun 30, 2026, the average yearly pay for cellular engineering in Portland, OR is $137,347.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,200.00 and $142,600.00 per year, depending on experience, location, and employer.

What is a Cellular Engineering job?

A Cellular Engineering job involves designing, modifying, and optimizing cells for various applications in biotechnology, medicine, and research. Professionals in this field use techniques like genetic engineering, synthetic biology, and tissue engineering to develop improved cell lines for drug production, regenerative medicine, and bio-manufacturing. They often work in laboratories, biotech companies, or academic institutions, collaborating with researchers and engineers to advance cellular technologies.

How much does a cell engineer make?

Cell engineers typically earn a median annual salary of around $70,000 to $100,000, depending on experience, education, and location. Entry-level positions may start lower, while experienced professionals or those with specialized skills in cellular biology or engineering can earn higher salaries. Certifications and working in high-demand biotech or pharmaceutical environments can also influence compensation.

What does a cellular engineer do?

A cellular engineer designs, develops, and tests cellular communication systems, including network infrastructure and wireless devices. They work with radio frequency technology, signal processing, and network protocols, often using tools like simulation software and requiring knowledge of telecommunications standards. Their role ensures reliable wireless connectivity and system performance.

What engineers make $300,000 a year?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and certain aerospace engineering roles can earn $300,000 or more annually, especially with extensive experience, advanced skills, and leadership responsibilities. High compensation often involves working in high-demand industries, holding managerial or executive positions, or possessing rare technical expertise and certifications.

What engineers make $500,000?

Senior-level engineers in specialized fields such as software engineering, petroleum engineering, and certain aerospace engineering roles can earn $500,000 or more annually, often through a combination of base salary, bonuses, and stock options. Achieving this level typically requires extensive experience, advanced skills, and working in high-demand industries or companies with competitive compensation packages.

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

To thrive in Cellular Engineering, you need a strong background in cell biology, tissue culture techniques, molecular biology, and a relevant degree such as biomedical engineering or a related field. Proficiency with laboratory equipment, data analysis software (such as FlowJo or ImageJ), and familiarity with regulatory guidelines like GMP are highly valuable. Attention to detail, problem-solving abilities, and excellent teamwork and communication skills are key soft skills in this field. These competencies ensure high-quality experimental results, regulatory compliance, and effective collaboration in research or biotech industry settings.

What are some typical challenges faced in a Cellular Engineering role?

Professionals in Cellular Engineering often encounter challenges such as troubleshooting inconsistent experimental results, adapting protocols to new cell types, and maintaining cell cultures under strict quality standards. Rapid project timelines and evolving technologies require continual learning and flexibility. Additionally, collaboration with multidisciplinary teams—including biologists, chemists, and regulatory experts—demands strong organizational and communication skills. These challenges make the role dynamic and rewarding, especially for those who enjoy problem-solving in a fast-paced environment.

What are popular job titles related to Cellular Engineering jobs in Portland, OR? For Cellular Engineering jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Cellular Engineering jobs in Portland, OR look for? The top searched job categories for Cellular Engineering jobs in Portland, OR are:
Cellular Engineering jobs near you
Infographic showing various Cellular Engineering job openings in Portland, OR as of June 2026, with employment types broken down into 29% Full Time, 42% Part Time, and 29% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $137,347 per year, or $66 per hour.

Bioinformatics Scientist - Gene Regulation & Cellular Reprogramming

e184

Portland, OR

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago

Key responsibilities

  • Lead computational analysis of multi-modal genomics data to identify transcription factor combinations driving cell state conversion.

  • Collaborate with wet lab teams to translate computational predictions into experimental designs and iterative experiments.

  • Rank transcription factor cocktails and analyze pooled perturbation and CRISPRa screens at single-cell resolution.

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 youll 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.

Youll 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.
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