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Temporary Medical Imaging Machine Learning Jobs in Oregon

Natera

OR

Core experience developing machine learning models for biomedical applications, specifically in medical imaging, computational pathology, genomics, transcriptomics, multi-omics, or molecular ...

Natera

OR

... digital pathology imaging, and longitudinal clinical metadata * Design rigorous clinical ... Partner with Computational Biology, Translational Science, and Medical Affairs teams to translate ...

Vectara

Machine Learning (ML) Engineer

OR · On-site +1

... machine learning to real-world problems, and crafting scalable and effective ML/AI solutions ... Perks and Benefits: 100% paid Medical, Dental, Vision begins on your first day! Option of Health ...

OptiTrack

Machine Learning & Operations Engineer

Corvallis, OR · Remote

$72K - $97K/yr

About the Role OptiTrack is seeking a Machine Learning Engineer to help design, automate, and scale ... medical for employee. Family coverage also included. * 100% employer paid dental, and vision for ...

OptiTrack

Machine Learning & Operations Engineer

Corvallis, OR · Remote

$72K - $97K/yr

About the Role OptiTrack is seeking a Machine Learning Engineer to help design, automate, and scale ... medical for employee. Family coverage also included. * 100% employer paid dental, and vision for ...

Natera

Staff Machine Learning Scientist, Agentic AI

OR · On-site +1

Natera is seeking a Staff Machine Learning Scientist - Agentic AI to join our AI team, an advanced ... imaging modalities for multi-step biological reasoning and tool use * Implement advanced LLM ...

Trimble

Machine Learning Data Scientist

Lake Oswego, OR · On-site

$122K - $165K/yr

In this role, you will be at the forefront of developing predictive machine learning models ... Trimble offers comprehensive core benefits that include Medical, Dental, Vision, Life, Disability ...

Cresta

OR

Machine Learning Engineers at Cresta work across several high-impact AI initiatives. Final team ... Comprehensive medical, dental, and vision coverage with plans to fit you and your family * Flexible ...

Cresta

Senior Machine Learning Engineer

OR · On-site +1

$205K - $270K/yr

Machine Learning Engineers at Cresta work across several high-impact AI initiatives. Final team ... Comprehensive medical, dental, and vision coverage with plans to fit you and your family * Flexible ...

Compuray Medical

General candidate submissions

West Linn, OR · On-site

$2.2K - $3.0K/wk

... Medical Imaging Center. This role offers the opportunity to work alongside a dedicated team of ... Minimum of two years This is a temporary, contract-based assignment offering a dynamic work ...

Cresta

OR

$104K - $143K/yr

About the role We are looking for a Senior Machine Learning Engineer, Voice Experience to help ... Comprehensive medical, dental, and vision coverage with plans to fit you and your family * Flexible ...

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All JobsTemporary Medical Imaging Machine Learning JobsTemporary Medical Imaging Machine Learning Jobs in Oregon

Temporary Medical Imaging Machine Learning information

What is the difference between Temporary Medical Imaging Machine Learning vs Medical Imaging Technologist?

AspectTemporary Medical Imaging Machine LearningMedical Imaging Technologist
CredentialsTypically requires knowledge of machine learning, programming, and healthcare dataRequires certification or licensing in radiologic technology
Work EnvironmentData analysis settings, research labs, healthcare IT departmentsHospitals, clinics, imaging centers
Industry UsageDeveloping AI tools for medical imaging, research projectsPerforming diagnostic imaging procedures on patients

Temporary Medical Imaging Machine Learning focuses on developing and applying AI algorithms to interpret medical images, often in research or tech settings. Medical Imaging Technologists operate imaging equipment directly on patients for diagnostic purposes. While both roles involve medical imaging, one is tech-focused on data and AI, and the other on patient care and image acquisition.

What are the most commonly searched types of Medical Imaging Machine Learning jobs in Oregon? The most popular types of Medical Imaging Machine Learning jobs in Oregon are:
What are popular job titles related to Temporary Medical Imaging Machine Learning jobs in Oregon? For Temporary Medical Imaging Machine Learning jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Temporary Medical Imaging Machine Learning jobs in Oregon look for? The top searched job categories for Temporary Medical Imaging Machine Learning jobs in Oregon are:
What cities in Oregon are hiring for Temporary Medical Imaging Machine Learning jobs? Cities in Oregon with the most Temporary Medical Imaging Machine Learning job openings:
Temporary Medical Imaging Machine Learning jobs near you
Infographic showing various Temporary Medical Imaging Machine Learning job openings in Oregon as of June 2026, with employment types broken down into 35% Full Time, 59% Part Time, 2% Temporary, and 4% Contract. Highlights an 99% Physical, and 1% Remote job distribution.

Machine Learning Scientist, Multimodal AI

Natera

OR

Other

Posted 29 days ago

Natera rating

7.7

Company rating: 7.7 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

50th of 103 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)

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