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Biomedical Data Engineer Jobs in Oregon (NOW HIRING)

Natera

OR

Document pipelines thoroughly and communicate data-driven findings clearly to cross-functional stakeholders QUALIFICATIONS: * PhD in Computer Science, Computational Biology, Biomedical Engineering ...

10x Genomics

Head of Data and Insights Business

OR · On-site +1

... developer of tools to measure single cell and spatial biology. With the launch of new platforms ... handle biomedical data * Experience building a team composed of new hires into new functions and ...

Aptive

$25.25 - $33.50/hr

... data within VA asset management systems. * Collaborate with biomedical engineering and IT staff to support system integration between medical devices and hospital networks. * Support preventative ...

Cotiviti

$32 - $40/hr

Fetch and ingest data from live external sources (APIs and web sources) into a structured pipeline ... related field (e.g., Biomedical Informatics, Computer Science) with preference of a PhD.

IQVIA

MedTech Field Service Engineer

Portland, OR · On-site

$27 - $32/hr

Document and submit daily data while maintaining high standards of product support quality ... Associate degree, or equivalent military training programs, or equivalent biomedical or technical ...

IQVIA

MedTech Field Service Engineer

Portland, OR

Document and submit daily data while maintaining high standards of product support quality ... Associate degree, or equivalent military training programs, or equivalent biomedical or technical ...

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 ...

Pwc

Kinaxis Solutions Architect, Manager

Portland, OR

$99K - $232K/yr

... Engineering & Management, Biomedical Science, Computer and Information Science, Data Processing/Analytics/Science - Demonstrating proficiency in Supply Chain Management Software - Excelling in ...

Nike

Footwear Material Sourcing Lead

Beaverton, OR · On-site

Must have a Master's degree in Science in Engineering, Biomedical Engineering, Chemical Engineering ... Data analysis Apply at www.Nike.com/Careers (Job# R-84910) #LI-DNI We offer a number of ...

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Biomedical Data Engineer information

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

To thrive as a Biomedical Data Engineer, you need strong programming skills (e.g., Python, R), a background in biomedical sciences or bioinformatics, and experience with data modeling and analysis. Familiarity with big data frameworks, cloud platforms, and tools like SQL, Hadoop, and machine learning libraries, as well as relevant certifications, is commonly required. Excellent problem-solving abilities, attention to detail, and effective collaboration with cross-functional teams help you stand out in this role. These skills enable accurate analysis and integration of complex biomedical data, supporting critical healthcare research and innovation.

What are some common challenges faced by Biomedical Data Engineers when integrating clinical data from multiple sources?

Biomedical Data Engineers often encounter challenges related to data heterogeneity when integrating clinical information from diverse sources such as electronic health records, medical imaging systems, and genomic databases. These sources may use different formats, standards, and terminologies, making data cleaning and normalization a complex task. Additionally, ensuring patient privacy and compliance with healthcare regulations adds another layer of complexity. Collaborating with clinicians, data scientists, and IT teams is essential to address these challenges and ensure data is usable for research and decision-making.

What is a Biomedical Data Engineer?

A Biomedical Data Engineer is a professional who designs, develops, and maintains systems for collecting, storing, and analyzing biomedical data. They work at the intersection of healthcare and technology, collaborating with researchers, clinicians, and IT specialists to ensure that medical data is accessible, accurate, and secure. Their work supports medical research, diagnostics, and the development of healthcare solutions by leveraging large datasets, machine learning, and advanced analytics. Biomedical Data Engineers often use programming languages, database management, and data processing tools to handle complex health data from various sources.

What is the difference between Biomedical Data Engineer vs Biomedical Data Analyst?

AspectBiomedical Data EngineerBiomedical Data Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fields; experience with data engineering toolsBachelor's or Master's in Biology, Bioinformatics, or related fields; proficiency in data analysis and visualization
Work EnvironmentDevelops data pipelines, manages databases, and ensures data infrastructure for research and healthcareAnalyzes datasets, creates reports, and interprets data for research or clinical decision-making
Employer & Industry UsageResearch institutions, biotech companies, healthcare providersHospitals, research labs, biotech firms, healthcare organizations

While both roles work with biomedical data, Biomedical Data Engineers focus on building and maintaining data infrastructure, whereas Biomedical Data Analysts interpret and analyze data to support research and clinical decisions.

What are popular job titles related to Biomedical Data Engineer jobs in Oregon? For Biomedical Data Engineer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Biomedical Data Engineer jobs in Oregon look for? The top searched job categories for Biomedical Data Engineer jobs in Oregon are:
What cities in Oregon are hiring for Biomedical Data Engineer jobs? Cities in Oregon with the most Biomedical Data Engineer job openings:
Biomedical Data Engineer jobs near you
Machine Learning Scientist, Multimodal AI

Machine Learning Scientist, Multimodal AI

Natera

OR

Other

Posted 22 days ago

Natera rating

7.7

Company rating: 7.7 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

51st of 105 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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