Machine Learning Scientist, Multimodal AI

🕒 July 30

🇺🇸 United States – Remote

💵 $124.8k - $171.6k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

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Natera

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2004

🏥 Healthcare

🧬 Biotechnology

⚕️ Healthcare Insurance

Healthcare • Biotechnology • Healthcare Insurance

Natera is a global leader in cell-free DNA testing technology, specializing in non-invasive genetic testing and diagnostics. The company's innovative solutions focus on areas such as prenatal screening, cancer detection, and organ transplant monitoring. By using advanced bioinformatics and DNA analysis, Natera provides healthcare professionals and patients with critical information to make more informed medical decisions.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• Comprehensive medical, dental, vision, life and disability plans • Free testing for employees and their immediate families • Fertility care benefits • Pregnancy and baby bonding leave • 401k benefits • Commuter benefits • Generous employee referral program