ZipRecruiter

Log In

1

Phd In Biotechnology Usa Jobs in Oregon (NOW HIRING)

Natera

Senior Director, ECD Product Strategy

OR · On-site +1

$126K - $166K/yr

... PhD, MD, or MBA) strongly preferred * 10+ years of experience in product management, product ... diagnostics, biotechnology, medical devices, or health technology * Prior experience with early ...

previous pagenext page

Showing results 21-40

All JobsPhd In Biotechnology Usa JobsPhd In Biotechnology Usa Jobs in Oregon

Phd In Biotechnology Usa information

What is a PhD in biotechnology in the USA?

A PhD in Biotechnology in the USA is an advanced doctoral program focused on research and development in biological sciences, engineering, and technology. This degree prepares students to conduct independent research, contribute to scientific knowledge, and pursue careers in academia, industry, or government. Programs typically combine coursework, laboratory training, and the completion of a dissertation based on original research. Students may specialize in areas such as molecular biology, genetic engineering, bioinformatics, or pharmaceutical biotechnology. Graduates are equipped for leadership roles in biotechnology research and development.

What are common research and collaboration opportunities for PhD students in biotechnology in the USA?

PhD students in Biotechnology in the USA often have access to a wide range of research opportunities, including interdisciplinary projects that span molecular biology, bioinformatics, and engineering. Many programs encourage collaborations with faculty, industry partners, and research institutes, which can lead to co-authored publications and valuable networking. Students typically work in lab groups where teamwork and regular meetings foster idea exchange and problem-solving. Additionally, many universities provide opportunities to present research at conferences and participate in grant-writing, both of which are important for career advancement.

What are the key skills and qualifications needed to thrive as a PhD in biotechnology in the USA?

To thrive as a PhD in Biotechnology in the USA, you need advanced knowledge in molecular biology, genetics, and bioprocess engineering, typically demonstrated by a doctoral degree in biotechnology or a related field. Expertise with laboratory techniques, data analysis software (such as Python, R, or MATLAB), and familiarity with regulatory standards is highly valued. Strong problem-solving, collaboration, and scientific communication skills distinguish outstanding professionals in this area. These competencies enable effective research, innovation, and translation of scientific discoveries into commercial or clinical applications.

What is the difference between Phd In Biotechnology Usa vs Biotech Research Scientist?

AspectPhd In Biotechnology UsaBiotech Research Scientist
Required CredentialsPhD in Biotechnology or related fieldBachelor's or Master's with relevant experience, PhD preferred
Work EnvironmentResearch labs, academia, industry R&DLaboratories, research institutions, biotech companies
Employer & Industry UsageUniversities, biotech firms, government agenciesBiotech and pharmaceutical companies, research institutes
Common Search & ComparisonYesYes

While a Phd In Biotechnology Usa involves advanced research training and academic credentials, a Biotech Research Scientist typically holds a master's or bachelor's degree with industry experience. Both roles work in research environments within biotech industries, but the PhD often leads to more senior or specialized positions.

What are popular job titles related to Phd In Biotechnology Usa jobs in Oregon?

For Phd In Biotechnology Usa jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Phd In Biotechnology Usa jobs in Oregon look for?

The top searched job categories for Phd In Biotechnology Usa jobs in Oregon are:

What cities in Oregon are hiring for Phd In Biotechnology Usa jobs?

Cities in Oregon with the most Phd In Biotechnology Usa job openings:

Phd In Biotechnology Usa jobs near you

Bioinformatics Scientist - Gene Regulation & Cellular Reprogramming

e184

Portland, OR • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 27 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.

Apply