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From Home Python Bioinformatics Jobs in Portland, OR

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All JobsFrom Home Python Bioinformatics JobsFrom Home Python Bioinformatics Jobs in Portland, OR

From Home Python Bioinformatics information

See Portland, OR salary details

$14

$62

$91

How much do from home python bioinformatics jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for from home python bioinformatics in Portland, OR is $62.17, according to ZipRecruiter salary data. Most workers in this role earn between $51.25 and $70.62 per hour, depending on experience, location, and employer.

What is the difference between From Home Python Bioinformatics vs From Home Data Scientist?

AspectFrom Home Python BioinformaticsFrom Home Data Scientist
Required CredentialsBachelor's or Master's in Bioinformatics, Biology, or related fields; Python programming skillsBachelor's or Master's in Data Science, Computer Science, or related fields; Python and statistical skills
Work EnvironmentRemote, often in research labs, biotech companies, or academic settingsRemote, in tech companies, finance, healthcare, or consulting firms
Industry UsageBiotech, healthcare, academic researchTechnology, finance, marketing, healthcare

From Home Python Bioinformatics and From Home Data Scientist roles share common skills like Python programming and remote work settings. However, bioinformatics focuses on biological data analysis, while data science covers a broader range of industries and data types. Your choice depends on your industry interest and specific skill set.

How do remote Python bioinformaticians typically collaborate with research teams and manage project communication?

Remote Python bioinformaticians often work closely with cross-functional teams, including biologists, data scientists, and clinicians, using digital collaboration tools like Slack, Zoom, and project management platforms to maintain clear communication. Regular virtual meetings and code-sharing via platforms like GitHub help ensure alignment on project goals and data analysis methods. Effective documentation and timely updates are essential for overcoming the challenges of remote teamwork, especially when projects involve large datasets or complex pipelines. Building strong communication habits and proactively seeking feedback are key to succeeding in this remote, collaborative environment.

What are the key skills and qualifications needed to thrive as a From Home Python Bioinformatics professional, and why are they important?

To thrive as a From Home Python Bioinformatics professional, you need strong programming skills in Python, a solid background in biology or bioinformatics, and at least a bachelor's degree in a related field. Familiarity with bioinformatics tools (such as Biopython, BLAST, and genome analysis platforms), version control systems like Git, and relevant data analysis libraries is crucial. Excellent problem-solving abilities, attention to detail, and self-motivation are essential soft skills for managing complex projects independently. These competencies enable effective analysis of biological data, accurate interpretation of results, and efficient collaboration in remote or distributed research environments.

What is a From Home Python Bioinformatics job?

A From Home Python Bioinformatics job involves working remotely to analyze and interpret biological data using Python programming. Professionals in this role apply computational techniques to solve problems in genomics, proteomics, and other areas of biology. They often write scripts or develop software to process large datasets, automate workflows, and visualize results for scientific research. These jobs typically require knowledge of both biology and computer science, as well as experience with relevant bioinformatics tools and libraries. Remote positions allow for flexible work arrangements, making it possible to collaborate with research teams from anywhere.
What are popular job titles related to From Home Python Bioinformatics jobs in Portland, OR? For From Home Python Bioinformatics jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching From Home Python Bioinformatics jobs in Portland, OR look for? The top searched job categories for From Home Python Bioinformatics jobs in Portland, OR are:
From Home Python Bioinformatics jobs near you
Infographic showing various From Home Python Bioinformatics job openings in Portland, OR as of June 2026, with employment types broken down into 1% Locum Tenens, 2% As Needed, 16% Full Time, 76% Part Time, and 5% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution, with an average salary of $129,310 per year, or $62.2 per hour.

Bioinformatics Scientist - Gene Regulation & Cellular Reprogramming

e184

Portland, OR • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

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. 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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