Role overview As a Bioinformatics Scientist with a cellular reprogramming background, you will lead ... Strong programming skills in Python and R, with proficiency in Scanpy/Seurat and statistical ...
Role overview As a Bioinformatics Scientist with a cellular reprogramming background, you will lead ... Strong programming skills in Python and R, with proficiency in Scanpy/Seurat and statistical ...
Role overview As a Bioinformatics Scientist with a cellular reprogramming background, you will lead ... Strong programming skills in Python and R, with proficiency in Scanpy/Seurat and statistical ...
Role overview As a Bioinformatics Scientist with a cellular reprogramming background, you will lead ... Strong programming skills in Python and R, with proficiency in Scanpy/Seurat and statistical ...
$114K - $137K/yr
Partner with product, bioinformatics, analytics, AI, software engineering, and infrastructure teams to define requirements, priorities, data contracts, and delivery models, and translate them into ...
VP, Product Engineering, Genetics Portfolio Reports to: SVP, Laboratory Systems and Product ... D.) in Molecular Biology, Bioinformatics, or Computer Science.
VP, Product Engineering, Genetics Portfolio Reports to: SVP, Laboratory Systems and Product ... D.) in Molecular Biology, Bioinformatics, or Computer Science.
PhD in Computer Science, Computational Biology, Bioinformatics, Biomedical Engineering, or a highly quantitative structural field * 5+ years of industry or post-doctoral experience applying deep ...
PhD in Computer Science, Computational Biology, Biomedical Engineering, Bioinformatics, Statistics, or a related quantitative discipline with a focus on machine learning or AI * Core experience ...
Staff Machine Learning Scientist, Agentic AI
OR · On-site +1
PhD or Master's degree in Computer Science, Bioinformatics, Statistics, or a related quantitative field * 8 or more years of experience in AI research or engineering, with a proven track record of ...
Staff Machine Learning Scientist, Agentic AI
OR · On-site +1
PhD or Master's degree in Computer Science, Bioinformatics, Statistics, or a related quantitative field * 8 or more years of experience in AI research or engineering, with a proven track record of ...
... and/or bioinformatic workflows. Three (3) professional references with contact information ... programming language such as R Experience independently planning and executing marine field ...
... and/or bioinformatic workflows. Three (3) professional references with contact information ... programming language such as R Experience independently planning and executing marine field ...
Pro Tem Laboratory Research Assistant - Oregon Institute of Marine Biology (OIMB)
Charleston, OR · On-site
... or bioinformatic workflows. • Three (3) professional references with contact information ... programming language such as R • Experience independently planning and executing marine field ...
Pro Tem Laboratory Research Assistant - Oregon Institute of Marine Biology (OIMB)
Charleston, OR · On-site
... or bioinformatic workflows. • Three (3) professional references with contact information ... programming language such as R • Experience independently planning and executing marine field ...
$126K - $166K/yr
Partner closely with software engineering, bioinformatics, clinical domain experts, quality, regulatory, and other product teams * Translate business, clinical, and operational needs into clear ...
Partner with bench scientists, bioinformatics, and product development teams to integrate statistical expertise into project planning and execution. Identify risks, communicate concerns, and champion ...
AI Scientist Senior II
Portland, OR · On-site
AI Scientists work closely with AI team members in the Product and Engineering tracks to ... Bioinformatics, or Econometrics, and typically at least 12 years of related work experience.
AI Scientist Senior II
Portland, OR · On-site
AI Scientists work closely with AI team members in the Product and Engineering tracks to ... Bioinformatics, or Econometrics, and typically at least 12 years of related work experience.
AI Scientist Senior II
Portland, OR · Hybrid
AI Scientists work closely with AI team members in the Product and Engineering tracks to ... Bioinformatics, or Econometrics, and typically at least 12 years of related work experience.
AI Scientist Senior II
Portland, OR · Hybrid
AI Scientists work closely with AI team members in the Product and Engineering tracks to ... Bioinformatics, or Econometrics, and typically at least 12 years of related work experience.
AI Scientist Senior II
Medford, OR · Hybrid
AI Scientists work closely with AI team members in the Product and Engineering tracks to ... Bioinformatics, or Econometrics, and typically at least 12 years of related work experience.
AI Scientist Senior II
Medford, OR · Hybrid
AI Scientists work closely with AI team members in the Product and Engineering tracks to ... Bioinformatics, or Econometrics, and typically at least 12 years of related work experience.
Post Doctoral Scholar
$52K - $70K/yr
Experience or training in bioinformatics helpful * Prior imaging or histology experience, single-cell transcriptome analysis experience, R programming, and python programming experience are helpful.
Post Doctoral Scholar
$52K - $70K/yr
Experience or training in bioinformatics helpful * Prior imaging or histology experience, single-cell transcriptome analysis experience, R programming, and python programming experience are helpful.
Post Doctoral Scholar
$52K - $70K/yr
Experience or training in bioinformatics helpful * Prior imaging or histology experience, single-cell transcriptome analysis experience, R programming, and python programming experience are helpful.
Post Doctoral Scholar
$52K - $70K/yr
Experience or training in bioinformatics helpful * Prior imaging or histology experience, single-cell transcriptome analysis experience, R programming, and python programming experience are helpful.
Post Doctoral Scholar
$52K - $70K/yr
Experience or training in bioinformatics helpful * Prior imaging or histology experience, single-cell transcriptome analysis experience, R programming, and python programming experience are helpful.
Post Doctoral Scholar
$52K - $70K/yr
Experience or training in bioinformatics helpful * Prior imaging or histology experience, single-cell transcriptome analysis experience, R programming, and python programming experience are helpful.
Post Doctoral Scholar
$52K - $70K/yr
Experience or training in bioinformatics helpful * Prior imaging or histology experience, single-cell transcriptome analysis experience, R programming, and python programming experience are helpful.
Post Doctoral Scholar
$52K - $70K/yr
Experience or training in bioinformatics helpful * Prior imaging or histology experience, single-cell transcriptome analysis experience, R programming, and python programming experience are helpful.
Post Doctoral Scholar
Portland, OR · On-site
$52K - $70K/yr
Experience or training in bioinformatics helpful * Prior imaging or histology experience, single-cell transcriptome analysis experience, R programming, and python programming experience are helpful.
Post Doctoral Scholar
Portland, OR · On-site
$52K - $70K/yr
Experience or training in bioinformatics helpful * Prior imaging or histology experience, single-cell transcriptome analysis experience, R programming, and python programming experience are helpful.
Collaborate with laboratory operations, bioinformatics, and software teams to investigate root ... Partner with engineering and data science teams to evaluate software-related complaints and ...
Bioinformatics Engineering information
What is the difference between Bioinformatics Engineering vs Bioinformatics Analyst?
| Aspect | Bioinformatics Engineering | Bioinformatics Analyst |
|---|---|---|
| Required Credentials | Bachelor's or Master's in Bioinformatics, Computer Science, or related fields; programming skills | Bachelor's or Master's in Bioinformatics, Biology, or related fields; data analysis skills |
| Work Environment | Research labs, biotech companies, healthcare institutions | Research institutions, healthcare, pharmaceutical companies |
| Employer & Industry Usage | Develops tools, pipelines, and software for data analysis | Interprets data, generates reports, supports research projects |
Bioinformatics Engineering focuses on developing software and pipelines for data processing, requiring programming expertise. In contrast, Bioinformatics Analysts primarily interpret data and generate insights, often with a stronger emphasis on biological knowledge. Both roles are vital in biotech and healthcare industries, but they differ in technical scope and daily tasks.
What is a bioinformatics engineer?
A bioinformatics engineer is a professional who develops and applies computational tools and techniques to analyze and interpret biological data, such as DNA sequences or protein structures. They combine expertise in computer science, biology, and mathematics to create software, manage databases, and solve complex biological problems. Bioinformatics engineers often work in research, pharmaceuticals, healthcare, and biotechnology industries to help advance scientific discoveries and medical innovations.
What engineers make $500,000?
Senior bioinformatics engineers with extensive experience, advanced skills in programming, data analysis, and familiarity with tools like Python, R, and cloud platforms can reach salaries of $500,000 or more, especially in high-demand industries such as biotech and pharmaceuticals. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes stock options or bonuses.
Is there a demand for bioengineers?
Bioinformatics engineers are in high demand due to the growth of personalized medicine, genomics, and biotechnology industries. They often work with tools like sequencing technologies and programming languages such as Python or R, and strong analytical skills are essential for success in this field.
How do bioinformatics engineers typically collaborate with biologists and data scientists in a research setting?
Bioinformatics engineers frequently work in cross-disciplinary teams, partnering closely with biologists to understand experimental goals and with data scientists to analyze complex datasets. Effective communication is key, as engineers must translate biological questions into computational workflows and interpret results in a way that is meaningful to non-technical team members. This collaborative approach not only accelerates research but also helps engineers gain a deeper understanding of biological processes, which can lead to more innovative solutions and professional growth.
What are the key skills and qualifications needed to thrive as a Bioinformatics Engineer, and why are they important?
To thrive as a Bioinformatics Engineer, you need a solid background in biology, computer science, and statistics, often supported by a degree in bioinformatics or a related field. Familiarity with programming languages like Python or R, experience with bioinformatics tools (e.g., BLAST, GATK), and proficiency with databases and cloud computing platforms are typically required. Strong problem-solving, analytical thinking, and collaboration skills set standout professionals apart in this interdisciplinary field. These competencies are crucial for effectively analyzing complex biological data and driving innovation in life sciences research.
What do bioinformatics engineers do?
Bioinformatics engineers develop and implement computational tools and algorithms to analyze biological data, such as genetic sequences and molecular structures. They often work with programming languages like Python or R, utilize databases, and collaborate with biologists to interpret data for research and medical applications.
What engineers make $300,000 a year?
Senior bioinformatics engineers with extensive experience, advanced skills in programming, data analysis, and familiarity with tools like Python, R, and cloud platforms can reach or exceed a $300,000 annual salary, especially in high-demand biotech or pharmaceutical industries. Such roles often require advanced degrees and leadership responsibilities, with compensation reflecting expertise and impact on research or product development.
What are popular job titles related to Bioinformatics Engineering jobs in Oregon? For Bioinformatics Engineering jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Bioinformatics Engineering jobs in Oregon look for? The top searched job categories for Bioinformatics Engineering jobs in Oregon are:
What cities in Oregon are hiring for Bioinformatics Engineering jobs? Cities in Oregon with the most Bioinformatics Engineering job openings:
Full-time
Medical, Dental, Vision, Retirement, PTO
Re-posted 24 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 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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