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Bioinformatics Job Jobs in Portland, OR (NOW HIRING)

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Bioinformatics Job information

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$100.2K

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How much do bioinformatics job jobs pay per year?

As of Aug 12, 2026, the average yearly pay for bioinformatics job in Portland, OR is $100,190.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,600.00 and $137,300.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals in bioinformatics roles, and how can they be addressed?

Bioinformatics professionals often encounter challenges such as managing large and complex datasets, keeping up with rapidly evolving technologies, and collaborating effectively with interdisciplinary teams. To address these challenges, it's important to develop strong data management and analytical skills, stay updated through continuous learning, and communicate clearly with both biologists and computer scientists. Leveraging version control tools, computational resources, and participating in collaborative projects can also help streamline workflows and enhance productivity.

What are the key skills and qualifications needed to thrive as a bioinformatics professional?

To thrive in a Bioinformatics job, you need a strong background in biology, statistics, and computer science, often supported by a degree in bioinformatics or a related field. Familiarity with programming languages (such as Python, R, or Perl), bioinformatics databases, and tools like BLAST or Next-Generation Sequencing platforms is essential. Strong analytical thinking, attention to detail, and effective communication skills set outstanding professionals apart in this role. These skills are crucial for accurately interpreting complex data, collaborating with interdisciplinary teams, and advancing research outcomes.

What is a bioinformatics job?

Bioinformatics jobs involve the application of computer science, mathematics, and biology to analyze and interpret complex biological data, such as genetic sequences. Professionals in this field develop algorithms, create databases, and use statistical tools to solve problems in genomics, drug discovery, and other life sciences. These roles are typically found in research institutions, biotechnology companies, pharmaceutical firms, and academic settings. The field is growing rapidly due to advances in technology and the increasing importance of big data in biology.
What are popular job titles related to Bioinformatics Job jobs in Portland, OR? For Bioinformatics Job jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Bioinformatics Job jobs in Portland, OR look for? The top searched job categories for Bioinformatics Job jobs in Portland, OR are:
Bioinformatics Job jobs near you
Infographic showing various Bioinformatics Job job openings in Portland, OR as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 22% Part Time, and 5% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $100,190 per year, or $48.2 per hour.

Bioinformatics Scientist - Gene Regulation & Cellular Reprogramming

e184

Portland, OR • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 18 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.

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