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Bioinformatics Salary In Usa Jobs in Oregon (NOW HIRING)

BMW Dealer Careers

Automotive Master Technician

Salem, OR · On-site

$58K - $74K/yr

Must be authorized to work in the USA. * Must perform duties and responsibilities in a safe manner ... Salary ranges can vary widely depending on the city and many other important factors, including ...

BMW Dealer Careers

Automotive Technician

Salem, OR · On-site

$58K - $74K/yr

Must be authorized to work in the USA. * Must perform duties and responsibilities in a safe manner ... Salary ranges can vary widely depending on the city and many other important factors, including ...

BMW Dealer Careers

Automotive Technician

Portland, OR · On-site

$61K - $77K/yr

Must be authorized to work in the USA. * Must perform duties and responsibilities in a safe manner ... Salary ranges can vary widely depending on the city and many other important factors, including ...

BMW Dealer Careers

Automotive Technician

Portland, OR · On-site

Must be authorized to work in the USA. * Must perform duties and responsibilities in a safe manner ... Salary ranges can vary widely depending on the city and many other important factors, including ...

BMW Dealer Careers

Automotive Master Technician

Salem, OR · On-site

$58K - $74K/yr

Must be authorized to work in the USA. * Must perform duties and responsibilities in a safe manner ... Salary ranges can vary widely depending on the city and many other important factors, including ...

BMW Dealer Careers

Automotive Technician

Portland, OR

$61K - $77K/yr

Must be authorized to work in the USA. * Must perform duties and responsibilities in a safe manner ... Salary ranges can vary widely depending on the city and many other important factors, including ...

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Bioinformatics Salary In Usa information

What is the average salary for a bioinformatician in the USA?

The average salary for a bioinformatician in the USA typically ranges from $70,000 to $120,000 per year, depending on experience, education level, and geographic location. Entry-level positions often start around $60,000, while experienced professionals or those in senior roles can earn upwards of $130,000 annually. Salaries may also vary based on industry, with positions in biotechnology, pharmaceuticals, and research institutions often offering competitive compensation packages.

What are the key skills and qualifications needed to thrive as a bioinformatician, and why are they important?

To thrive as a Bioinformatician, you need a solid background in biology, statistics, and computer science, typically supported by a relevant degree such as bioinformatics, computational biology, or a related field. Familiarity with programming languages (like Python, R, or Perl), experience with bioinformatics tools (such as BLAST or Galaxy), and knowledge of databases (e.g., GenBank, Ensembl) are essential. Critical thinking, problem-solving, and effective communication enable you to interpret complex biological data and collaborate with interdisciplinary teams. These skills are crucial for analyzing large-scale datasets, deriving meaningful insights, and driving advancements in biomedical research.

What are some common challenges faced by bioinformatics professionals working in the USA?

Bioinformatics professionals in the USA often face challenges such as managing and analyzing large, complex datasets, staying updated with rapidly evolving technologies, and effectively collaborating with interdisciplinary teams including biologists, data scientists, and software engineers. Additionally, adapting to various research environments—whether in academia, industry, or healthcare—can require flexibility and strong communication skills. Balancing project deadlines with the need for accuracy and reproducibility in data analysis is another common aspect of the role.

What is the difference between Bioinformatics Salary In Usa vs Computational Biologist?

FactorBioinformatics Salary In UsaComputational Biologist
Average Salary$85,000 - $110,000$80,000 - $105,000
Required CredentialsBachelor's or Master's in Bioinformatics, Biology, or Computer ScienceMaster's or Ph.D. in Computational Biology, Bioinformatics, or related fields
Work EnvironmentResearch labs, biotech companies, healthcare institutionsAcademic, research institutions, biotech firms
Industry UsageGenomics, healthcare, pharmaceuticalsGenomics, systems biology, drug discovery

Both roles have similar salary ranges and require advanced degrees in related fields. Bioinformatics specialists often focus on data analysis and software tools, while computational biologists may engage more in theoretical modeling and research. The choice depends on your specific skills and career goals within the biotech and research industries.

Is bioinformatics a good career?

Bioinformatics is a growing field with strong demand for professionals skilled in computational biology, data analysis, and programming. It offers competitive salaries, opportunities in research, healthcare, and biotech industries, and often requires knowledge of tools like Python, R, and databases. The career can be rewarding for those interested in science and technology, with ongoing advancements increasing job prospects.

What are popular job titles related to Bioinformatics Salary In Usa jobs in Oregon?

For Bioinformatics Salary In Usa jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Bioinformatics Salary In Usa jobs in Oregon look for?

The top searched job categories for Bioinformatics Salary In Usa jobs in Oregon are:

What cities in Oregon are hiring for Bioinformatics Salary In Usa jobs?

Cities in Oregon with the most Bioinformatics Salary In Usa job openings:

Bioinformatics Salary In Usa jobs near you
Infographic showing various Bioinformatics Salary In Usa job openings in Oregon as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Bioinformatics Scientist - Gene Regulation & Cellular Reprogramming

Portland, OR

e184
See more jobs at e184external

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted yesterday

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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