Staff Machine Learning Scientist, Translational AI

🕒 July 30

🇺🇸 United States – Remote

💵 $163.2k - $220k / year

⏰ Full Time

🔴 Lead

🤖 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

• Provide technical leadership at the intersection of deep learning foundation models, computational biology, and molecular diagnostics. • Drive the architecture and validation of genomic, transcriptomic, and multimodal sequence models. • Align across AI Research, Bioinformatics, and Clinical Science divisions. • Serve as the principal technical authority on the deployment of molecular, genomic, and pathology foundation models applied to oncology and translational medicine questions. • Engineer rigorous alignment and post-training workflows that ground pre-trained foundation models in data. • Lead the post-training, parameter-efficient fine-tuning (PEFT), and evaluation of deep sequence, multimodal models. • Design robust fine-tuning, probing, and latent space representation analysis workflows. • Validate model outputs against multi-omic benchmarks and real-world outcomes. • Build, train, and optimize advanced machine learning models utilizing NGS, ctDNA assays, digital pathology imaging, and longitudinal clinical metadata. • Partner with Computational Biology, Translational Science, and Medical Affairs teams to translate complex clinical requirements into clear problem statements. • Provide technical leadership and data execution support for strategic collaborations.

🎯 Requirements

• 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 learning frameworks to complex biological, genomic, or clinical datasets, with a documented focus on oncology or immunology portfolios. • Deep technical competency with transformer architectures, representation learning, self-supervised learning (SSL), or deep sequence modeling. • Proven track record of translating machine learning outputs into verifiable biological variables or clinical performance indicators. • Expert proficiency in PyTorch and modern machine learning infrastructure (e.g., HuggingFace ecosystem, PEFT, Captum, MLflow, and distributed GPU computing setups). • Documented technical leadership through end-to-end project ownership, architectural design authority, or cross-functional team direction.

🏖️ Benefits

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