Staff Machine Learning Scientist, Translational AI

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🔥 0 minutes ago

🏄 California – Remote

🏄 California – Remote

💵 $163.2k - $220k / year

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

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Natera

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2004

🧬 Biotechnology

⚕️ Healthcare Insurance

💊 Pharmaceuticals

Biotechnology • Healthcare Insurance • Pharmaceuticals

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, computational biology, and molecular diagnostics. • Drive the architecture and validation of genomic, transcriptomic, and multimodal sequence models. • Engineer alignment and post-training workflows based on clinical trial and molecular diagnostic data. • Lead parameter-efficient fine-tuning (PEFT) and evaluation of deep sequence and multimodal models. • Validate model outputs against benchmarks and real-world outcomes. • Collaborate with cross-functional teams to translate clinical requirements into machine learning problem statements. • Act as a technical bridge between AI Research and ML Engineering teams. • Author technical manuscripts for peer-reviewed venues and represent the company's capabilities at conferences.

🎯 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 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. • 401(k) benefits. • Commuter benefits. • Generous employee referral program.