OR · On-site
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 ...
Senior Machine Learning Scientist, Agentic AI
OR · On-site +1
$91K - $124K/yr
Your mission is to architect systems capable of multi-step biological reasoning, converting complex ... Establish production-grade machine learning engineering standards and reproducible architectures ...
Senior Machine Learning Scientist, Agentic AI
OR · On-site +1
$91K - $124K/yr
Your mission is to architect systems capable of multi-step biological reasoning, converting complex ... Establish production-grade machine learning engineering standards and reproducible architectures ...
$205K - $355K/yr
S. in Computer Science, Applied Math, Statistics, Computational Biology, or a related field * 5+ years of industry/academic experience in applying machine learning at scale * Experience in building ...
OR · On-site
$170K - $334K/yr
Our machine learning team is lean but hungry to drive even more impact and make Nextdoor the ... B.S. in Computer Science, Applied Math, Statistics, Computational Biology or a related field ...
Computational Biologist 1
Portland, OR · On-site
... biology, bioinformatics, and applied mathematics (including statistical modeling and machine learning), in close collaboration with a leading wet-lab research team, Dr. Ted Braun's group at the ...
Computational Biologist 1
Portland, OR · On-site
... biology, bioinformatics, and applied mathematics (including statistical modeling and machine learning), in close collaboration with a leading wet-lab research team, Dr. Ted Braun's group at the ...
Assistant/Associate Professor (Computational Biology/Data Science) Position Type:Faculty Department ... machine learning, artificial intelligence, remote sensing, Geographic Information Systems (GIS ...
Assistant/Associate Professor (Computational Biology/Data Science) Position Type:Faculty Department ... machine learning, artificial intelligence, remote sensing, Geographic Information Systems (GIS ...
Assistant/Associate Professor (Computational Biology/Data Science) Position Type:Faculty Department ... machine learning, artificial intelligence, remote sensing, Geographic Information Systems (GIS ...
Assistant/Associate Professor (Computational Biology/Data Science) Position Type:Faculty Department ... machine learning, artificial intelligence, remote sensing, Geographic Information Systems (GIS ...
Assistant/Associate Professor (Computational Biology/Data Science) Position Type:Faculty Department ... machine learning, artificial intelligence, remote sensing, Geographic Information Systems (GIS ...
Assistant/Associate Professor (Computational Biology/Data Science) Position Type:Faculty Department ... machine learning, artificial intelligence, remote sensing, Geographic Information Systems (GIS ...
Current faculty and affiliates reflect strengths in machine learning, biological modeling, data ethics, data sovereignty, computer science, environmental data science, climate change policy and ...
Current faculty and affiliates reflect strengths in machine learning, biological modeling, data ethics, data sovereignty, computer science, environmental data science, climate change policy and ...
Current faculty and affiliates reflect strengths in machine learning, biological modeling, data ethics, data sovereignty, computer science, environmental data science, climate change policy and ...
Current faculty and affiliates reflect strengths in machine learning, biological modeling, data ethics, data sovereignty, computer science, environmental data science, climate change policy and ...
Bruker Spatial Biology is a rapidly growing and fast-paced biotechnology company with an R&D group ... Hands-on experience developing machine-learning or deep-learning models (training, evaluation, and ...
Bruker Spatial Biology is a rapidly growing and fast-paced biotechnology company with an R&D group ... Hands-on experience developing machine-learning or deep-learning models (training, evaluation, and ...
Bruker Spatial Biology is a rapidly growing and fast-paced biotechnology company with an R&D group ... Hands-on experience developing machine-learning or deep-learning models (training, evaluation, and ...
Bruker Spatial Biology is a rapidly growing and fast-paced biotechnology company with an R&D group ... Hands-on experience developing machine-learning or deep-learning models (training, evaluation, and ...
Bruker Spatial Biology is a rapidly growing and fast-paced biotechnology company with an R&D group ... Hands-on experience developing machine-learning or deep-learning models (training, evaluation, and ...
Bruker Spatial Biology is a rapidly growing and fast-paced biotechnology company with an R&D group ... Hands-on experience developing machine-learning or deep-learning models (training, evaluation, and ...
Post Doctoral Scholar
$52K - $70K/yr
A postdoctoral fellow position in myelin biology is available in the laboratory of Ben Emery in the ... Relevant skills in rodent models of CNS injury, bioinformatics and machine learning approaches to ...
Post Doctoral Scholar
$52K - $70K/yr
A postdoctoral fellow position in myelin biology is available in the laboratory of Ben Emery in the ... Relevant skills in rodent models of CNS injury, bioinformatics and machine learning approaches to ...
Post Doctoral Scholar
Portland, OR · On-site
$52K - $70K/yr
Department Overview A postdoctoral fellow position in myelin biology is available in the laboratory ... Relevant skills in rodent models of CNS injury, bioinformatics and machine learning approaches to ...
Post Doctoral Scholar
Portland, OR · On-site
$52K - $70K/yr
Department Overview A postdoctoral fellow position in myelin biology is available in the laboratory ... Relevant skills in rodent models of CNS injury, bioinformatics and machine learning approaches to ...
OR · On-site
... biology, or closely related life-sciences domain expertise. * 8 or more years of experience in scientific computing and machine learning for life sciences. * 4 or more years of experience working ...
Post Doctoral Scholar
$52K - $70K/yr
Department Overview A postdoctoral fellow position in myelin biology is available in the laboratory ... Relevant skills in rodent models of CNS injury, bioinformatics and machine learning approaches to ...
Post Doctoral Scholar
$52K - $70K/yr
Department Overview A postdoctoral fellow position in myelin biology is available in the laboratory ... Relevant skills in rodent models of CNS injury, bioinformatics and machine learning approaches to ...
Post Doctoral Scholar
$52K - $70K/yr
Department Overview A postdoctoral fellow position in myelin biology is available in the laboratory ... Relevant skills in rodent models of CNS injury, bioinformatics and machine learning approaches to ...
Post Doctoral Scholar
$52K - $70K/yr
Department Overview A postdoctoral fellow position in myelin biology is available in the laboratory ... Relevant skills in rodent models of CNS injury, bioinformatics and machine learning approaches to ...
Post Doctoral Scholar
Portland, OR · On-site
$52K - $70K/yr
Department Overview A postdoctoral fellow position in myelin biology is available in the laboratory ... Relevant skills in rodent models of CNS injury, bioinformatics and machine learning approaches to ...
Post Doctoral Scholar
Portland, OR · On-site
$52K - $70K/yr
Department Overview A postdoctoral fellow position in myelin biology is available in the laboratory ... Relevant skills in rodent models of CNS injury, bioinformatics and machine learning approaches to ...
... machine learning applications to predict clinical outcomes based on microbiome and host factors ... PhD in Microbiology, Immunology, or closely related biological science AND prior training in ...
... machine learning applications to predict clinical outcomes based on microbiome and host factors ... PhD in Microbiology, Immunology, or closely related biological science AND prior training in ...
Machine Learning Biology information
What are some common challenges faced by professionals working in Machine Learning Biology?
Professionals in Machine Learning Biology often deal with challenges such as handling large and complex biological datasets, integrating heterogeneous data types (like genomics, proteomics, or imaging), and addressing the noise and variability inherent in biological data. Interpreting results in a biologically meaningful way and ensuring reproducibility of models can also be complex, requiring close collaboration with experimental scientists. Many teams are cross-functional, so frequent communication with biologists, clinicians, and software engineers is important for project success. While these challenges can be demanding, they also offer opportunities for innovation and significant contributions to scientific discovery or medical advances.
What is a Machine Learning Biology job?
A Machine Learning Biology job involves applying machine learning techniques to analyze biological data, such as genomic sequences, protein structures, or medical images. Professionals in this field develop algorithms to identify patterns, make predictions, and derive insights that can advance research in drug discovery, personalized medicine, and biotechnology. These roles typically require expertise in biology, data science, and programming, often using tools like Python, TensorFlow, or scikit-learn.
What are the key skills and qualifications needed to thrive in the Machine Learning Biology position, and why are they important?
To thrive as a Machine Learning Biology professional, you need expertise in both computational methods (especially machine learning and data science) and a solid understanding of biological sciences, typically supported by an advanced degree in bioinformatics, computational biology, or a related field. Familiarity with programming languages like Python or R, experience using machine learning frameworks (such as TensorFlow or scikit-learn), and working with biological databases are highly valued. Strong analytical thinking, problem-solving abilities, and effective interdisciplinary communication are key soft skills for this position. These competencies are vital for translating complex biological data into actionable insights and advancing research or product development in biotechnology and life sciences.
What are the most commonly searched types of Machine Learning Biology jobs in Oregon? The most popular types of Machine Learning Biology jobs in Oregon are:
What are popular job titles related to Machine Learning Biology jobs in Oregon? For Machine Learning Biology jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Machine Learning Biology jobs in Oregon look for? The top searched job categories for Machine Learning Biology jobs in Oregon are:
Other
Posted 14 days ago
Natera rating
7.7
Based on 35 frontline employees who took The Breakroom Quiz
47th 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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