ZipRecruiter

Log In

1

Biomedical Engineer Phd Jobs in Oregon (NOW HIRING)

Natera

OR

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 ...

Grant Engine

Required Qualifications: · PhD in biological sciences, biomedical engineering, or other life science or healthcare associated field, or MD · Alternatively, Master's Degree for selected individuals ...

United States Army

Microbiologist

Eugene, OR

... a PhD degree in microbiology, virology, bacteriology, parasitology, immunology, molecular biology, or biomedical engineering ★ Must be a U.S. citizen to serve as Active Duty ★ Must have a ...

United States Army

Microbiologist

Salem, OR

... a PhD degree in microbiology, virology, bacteriology, parasitology, immunology, molecular biology, or biomedical engineering ★ Must be a U.S. citizen to serve as Active Duty ★ Must have a ...

United States Army

Microbiologist

Portland, OR

... a PhD degree in microbiology, virology, bacteriology, parasitology, immunology, molecular biology, or biomedical engineering ★ Must be a U.S. citizen to serve as Active Duty ★ Must have a ...

Natera

OR

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 ...

next page

Showing results 1-20

All JobsBiomedical Engineer Phd JobsBiomedical Engineer Phd Jobs in Oregon

Biomedical Engineer Phd information

See Oregon salary details

$43.3K

$100.2K

$148K

How much do biomedical engineer phd jobs pay per year?

As of Jul 26, 2026, the average yearly pay for biomedical engineer phd in Oregon is $100,238.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,800.00 and $122,600.00 per year, depending on experience, location, and employer.

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

To excel as a Biomedical Engineer PhD, you need advanced knowledge in biomedical engineering principles, research methodologies, and a doctoral degree in biomedical engineering or a related field. Familiarity with tools such as MATLAB, CAD software, laboratory instrumentation, and experience with regulatory standards like FDA or ISO is crucial. Exceptional analytical thinking, problem-solving abilities, and strong communication skills are vital for collaborating with multidisciplinary teams and conveying complex findings. These skills ensure innovative solutions, effective cross-functional teamwork, and successful navigation of regulatory and research challenges in biomedical engineering.

What is the difference between Biomedical Engineer Phd vs Biomedical Engineer?

AspectBiomedical Engineer PhdBiomedical Engineer
Required CredentialsPhD in Biomedical Engineering or related fieldBachelor's or Master's in Biomedical Engineering or related field
Work EnvironmentResearch labs, academia, advanced R&DHospitals, medical device companies, industry
Employer & Industry UsageAcademic institutions, research organizations, specialized R&DMedical device firms, healthcare facilities, manufacturing

The main difference between a Biomedical Engineer Phd and a Biomedical Engineer lies in education level, with the Phd focusing on advanced research and academic roles, while the Biomedical Engineer typically works in industry or clinical settings with a bachelor's or master's degree. The Phd often engages in innovative research, whereas the Biomedical Engineer applies engineering principles to develop and improve medical devices and systems.

What types of projects and collaborations can a Biomedical Engineer PhD expect to engage in within a multidisciplinary team?

Biomedical Engineer PhDs often work on projects that require close collaboration with clinicians, biologists, and other engineers. These collaborations may involve developing medical devices, improving imaging technologies, or conducting translational research that bridges laboratory findings with patient care. On a typical team, you might contribute expertise in advanced data analysis, experimental design, or regulatory compliance, while learning from colleagues in other specialties. This multidisciplinary environment fosters innovation and can open doors to leadership roles or specialized research positions in both academia and industry.

What does a Biomedical Engineer PhD do?

A Biomedical Engineer PhD conducts advanced research and develops innovative solutions at the intersection of engineering, biology, and medicine. They design and improve medical devices, imaging systems, and biotechnologies, often working in academic, clinical, or industry settings. Their work may include publishing scientific papers, leading research projects, and collaborating with healthcare professionals to translate discoveries into practical applications that improve patient care.
What are popular job titles related to Biomedical Engineer Phd jobs in Oregon? For Biomedical Engineer Phd jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Biomedical Engineer Phd jobs in Oregon look for? The top searched job categories for Biomedical Engineer Phd jobs in Oregon are:
What cities in Oregon are hiring for Biomedical Engineer Phd jobs? Cities in Oregon with the most Biomedical Engineer Phd job openings:
Biomedical Engineer Phd jobs near you
Infographic showing various Biomedical Engineer Phd job openings in Oregon as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, 1% Contract, and 1% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $100,238 per year, or $48.2 per hour.
Machine Learning Scientist, Multimodal AI

Machine Learning Scientist, Multimodal AI

Natera

OR

Other

Posted 28 days ago

Natera rating

7.6

Company rating: 7.6 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

60th of 120 rated laboratories

Job description

POSITION SUMMARY:

Natera is hiring a Machine Learning Scientist to join our AI and computational biology team. This role develops and deploys deep learning models across digital pathology, genomics, transcriptomics, and cell-free DNA (cfDNA) modalities. You will build multimodal AI systems that integrate imaging, molecular, and clinical data, leveraging proprietary genomic and clinical datasets. You will collaborate with scientists, pathologists, bioinformaticians, and software engineers to scale machine learning approaches that advance personalized oncology diagnostics and tumor-informed minimal residual disease (MRD) testing.

PRIMARY RESPONSIBILITIES:

  • Design, implement, and evaluate deep learning models across biomedical data modalities, including histopathology imaging, genomic sequencing, transcriptomics, and cfDNA features
  • Develop multimodal AI architectures that integrate H&E whole-slide imaging data with molecular and clinical data sources
  • Build scalable, production-quality machine learning workflows and pipelines using cloud infrastructure (AWS)
  • Apply modern machine learning techniques including convolutional neural networks (CNNs), vision transformers (ViTs), sequence transformers, representation learning, and foundation model fine-tuning
  • Collaborate across technical and clinical teams to translate machine learning prototypes into validated tools
  • Analyze model outputs to generate reproducible biological and clinical insights
  • Document pipelines thoroughly and communicate data-driven findings clearly to cross-functional stakeholders

QUALIFICATIONS:

  • 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 developing machine learning models for biomedical applications, specifically in medical imaging, computational pathology, genomics, transcriptomics, multi-omics, or molecular diagnostics
  • Hands-on expertise with PyTorch and strong production-level programming skills in Python
  • Practical application of deep learning architectures such as CNNs, transformers, attention mechanisms, and representation learning
  • Experience managing datasets and training workflows within distributed or cloud computing environments (AWS)
  • Proven ability to take ownership of research projects and translate prototypes into robust, deployment-ready workflows
  • Experience adapting pre-trained foundation models for downstream biomedical applications

PREFERRED QUALIFICATIONS:

  • Experience integrating imaging, molecular, and clinical data within unified multimodal machine learning frameworks
  • Technical familiarity with DNA sequencing, RNA sequencing, methylation, and ctDNA assays
  • Hands-on experience with digital pathology software and whole-slide imaging analysis
  • Exposure to survival modeling, longitudinal prediction, or time-to-event modeling
  • Experience applying self-supervised learning, weakly supervised learning, or multiple instance learning (MIL) to clinical data
  • Domain knowledge in oncology, biomarker discovery, or clinical precision medicine
  • Track record of peer-reviewed publications in machine learning or computational biology conferences and journals (e.g., NeurIPS, ICML, CVPR, MICCAI, Nature Biomedical Engineering)

#LI-DNI

What Natera employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply