ZipRecruiter

Log In

1

On Call Bioinformatics Machine Learning Jobs in Portland, OR

Wolfers Inc

Duct Cleaner

Wilsonville, OR · On-site

$20 - $25/hr

No On-Call Stress - Enjoy your personal time without late-night surprises. * Health Benefits - 75 ... Growth & Learning - Ongoing training and development so you can keep building your career. What you ...

Wolfers Home Services

Duct Cleaner

Wilsonville, OR · On-site

$20 - $25/hr

No On-Call Stress - Enjoy your personal time without late-night surprises. * Health Benefits - 75 ... Growth & Learning - Ongoing training and development so you can keep building your career. What you ...

Wolfers Home Services

Duct Cleaner

Wilsonville, OR · On-site

$20 - $25/hr

No On-Call Stress - Enjoy your personal time without late-night surprises. * Health Benefits - 75 ... Growth & Learning - Ongoing training and development so you can keep building your career. What you ...

Fisher Investments

Azure Cloud Engineer

Camas, WA

Provide international and 24/7 support through on-call duties and/or working a flexible off-hours ... Experience with Azure IaaS (Virtual Machines, Storage, Networking) and PaaS (App Services, Azure ...

next page

Showing results 1-20

All JobsOn Call Bioinformatics Machine Learning JobsOn Call Bioinformatics Machine Learning Jobs in Portland, OR

On Call Bioinformatics Machine Learning information

See Portland, OR salary details

$9

$33

$55

How much do on call bioinformatics machine learning jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for on call bioinformatics machine learning in Portland, OR is $33.14, according to ZipRecruiter salary data. Most workers in this role earn between $12.74 and $53.56 per hour, depending on experience, location, and employer.

What are the typical responsibilities and collaboration expectations for an On Call Bioinformatics Machine Learning professional?

As an On Call Bioinformatics Machine Learning specialist, you can expect to handle urgent data analyses, troubleshoot computational pipelines, and provide rapid support for ongoing research projects. You will frequently collaborate with biologists, data scientists, and IT teams to ensure that machine learning models are running smoothly and producing reliable results. Flexibility is key, as you may be called upon to resolve issues outside standard hours or to quickly adapt to shifting project priorities. This role also offers opportunities to contribute to process improvements and gain exposure to cutting-edge bioinformatics tools.

What are the key skills and qualifications needed to thrive as an On Call Bioinformatics Machine Learning specialist, and why are they important?

To thrive as an On Call Bioinformatics Machine Learning specialist, you need a strong background in computational biology, statistics, and machine learning, often supported by an advanced degree in bioinformatics, computer science, or a related field. Familiarity with programming languages such as Python or R, experience using bioinformatics databases, and knowledge of cloud computing platforms are typically required, along with relevant certifications in data science or machine learning. Strong problem-solving abilities, attention to detail, and effective communication are crucial soft skills for collaborating with interdisciplinary teams and responding quickly to urgent issues. These skills are important for delivering rapid, accurate analyses and solutions in a dynamic and complex research environment.

What is an On Call Bioinformatics Machine Learning professional?

An On Call Bioinformatics Machine Learning professional is someone who provides expertise in applying machine learning techniques to biological and biomedical data, often on an as-needed or emergency basis. They analyze complex biological datasets, such as genomics or proteomics information, to extract meaningful insights using advanced computational methods. Typically, these professionals may be brought in to troubleshoot, optimize pipelines, or solve urgent data analysis challenges when internal teams need immediate support.
What are the most commonly searched types of Bioinformatics Machine Learning jobs in Portland, OR? The most popular types of Bioinformatics Machine Learning jobs in Portland, OR are:
What are popular job titles related to On Call Bioinformatics Machine Learning jobs in Portland, OR? For On Call Bioinformatics Machine Learning jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching On Call Bioinformatics Machine Learning jobs in Portland, OR look for? The top searched job categories for On Call Bioinformatics Machine Learning jobs in Portland, OR are:
On Call Bioinformatics Machine Learning jobs near you

Bioinformatics Scientist - Gene Regulation & Cellular Reprogramming

e184

Portland, OR

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 15 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.
apply for this job

Apply