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Genomics Jobs in Portland, OR (NOW HIRING)

Oregon Health & Science University

Student Worker

Portland, OR · On-site

$14.75 - $16.75/hr

Department OverviewThe O'Roak lab is focused on using genomic approaches to unlock the genetic basis of neurodevelopmental disorders and related disorders, such as autism and intellectual disability.

Oregon Health & Science University

Student Worker

Portland, OR · On-site

$14.75 - $16.75/hr

Department OverviewThe O'Roak lab is focused on using genomic approaches to unlock the genetic basis of neurodevelopmental disorders and related disorders, such as autism and intellectual disability.

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All JobsGenomics JobsGenomics Jobs in Portland, OR

Genomics information

See Portland, OR salary details

$35K

$117.3K

$194.2K

How much do genomics jobs pay per year?

As of Aug 17, 2026, the average yearly pay for genomics in Portland, OR is $117,312.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,916.00 and $153,302.00 per year, depending on experience, location, and employer.

What jobs can you get with a genomics degree?

A genomics degree can lead to roles such as genomic researcher, bioinformatics analyst, laboratory technician, or clinical geneticist. These jobs often require skills in molecular biology, data analysis, and familiarity with sequencing technologies and software tools.

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

To thrive in a Genomics role, you need a strong background in molecular biology, genetics, and bioinformatics, typically supported by an advanced degree in a life science and relevant laboratory experience. Proficiency with genomic sequencing platforms (such as Illumina or Oxford Nanopore), data analysis software, and experience with databases like NCBI or Ensembl are commonly required. Critical thinking, attention to detail, and collaborative communication are essential soft skills for interpreting complex data and working within multidisciplinary teams. These competencies are important for ensuring accurate genetic analysis, driving research projects, and making meaningful scientific contributions.

What is a genomics job?

A genomics job involves studying an organism's entire genetic makeup to understand gene functions, interactions, and variations. Professionals in this field work in research, healthcare, pharmaceuticals, or biotechnology, using advanced tools like sequencing technologies and bioinformatics. Their work can help in disease research, precision medicine, agriculture, and evolutionary biology. Common roles include genomic scientists, bioinformaticians, and clinical geneticists.

What are typical daily responsibilities for someone working in genomics?

Professionals in Genomics typically spend their days designing experiments, preparing and processing biological samples, and conducting analyses using high-throughput sequencing technologies. They also interpret large datasets using specialized bioinformatics tools, prepare reports or present findings to stakeholders, and collaborate with other scientists such as clinicians, computational biologists, or data analysts. The work environment can be a mix of laboratory work and computational data analysis, depending on the specific position. Regular team meetings and collaboration are common, especially in research or clinical settings where interdisciplinary problem-solving is essential.

Is genomics a good career?

Genomics is a growing field that involves studying an organism's complete set of DNA. Careers in genomics often require strong skills in molecular biology, bioinformatics, and laboratory techniques, with opportunities in research, healthcare, and biotechnology sectors. The field offers competitive salaries and demand for skilled professionals is expected to increase with advances in personalized medicine and genetic research.

Does genomics pay well?

Genomics professionals, such as genomic scientists and bioinformaticians, typically earn competitive salaries that vary based on experience, education, and location. Entry-level positions may start lower, but experienced roles with advanced skills in sequencing technologies and data analysis can command high salaries, especially in research institutions and biotech companies.

What are the most commonly searched types of Genomics jobs in Portland, OR?

The most popular types of Genomics jobs in Portland, OR are:

What are popular job titles related to Genomics jobs in Portland, OR?

For Genomics jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Genomics jobs in Portland, OR look for?

The top searched job categories for Genomics jobs in Portland, OR are:

What cities near Portland, OR are hiring for Genomics jobs?

Cities near Portland, OR with the most Genomics job openings:

Genomics jobs near you
Infographic showing various Genomics job openings in Portland, OR as of August 2026, with employment types broken down into 89% Full Time, 8% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $117,312 per year, or $56.4 per hour.

Bioinformatics Scientist - Gene Regulation & Cellular Reprogramming

e184

Portland, OR • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 22 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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