Note: The job is a remote job and is open to candidates in USA. Natera is seeking a Staff Machine Learning Scientist – Agentic AI to join our AI team, an advanced R&D and core AI innovation team bridging the gap between molecular discovery and clinical execution. The role involves designing and deploying production-grade autonomous AI agents and multi-modal foundation models to convert complex multi-omic datasets into verifiable clinical insights that accelerate biomarker and therapeutic discovery.

Responsibilities

• Lead the technical design and deployment of multi-agent systems capable of autonomous hypothesis generation and tool use, including genomic variant calling, LLM fine-tuning, and clinical trial matching pipelines
• Incorporate and advance Natera’s transformer-based foundation model by integrating DNA, RNA, and H&E imaging modalities for multi-step biological reasoning and tool use
• Implement advanced LLM reasoning frameworks, such as ReAct and Chain-of-Thought, alongside reinforcement fine-tuning (RFT) to ensure agents provide accurate, explainable clinical rationales
• Architect systems that autonomously translate complex, multi-modal data into diagnostic and therapeutic insights with human-verifiable reasoning and tracing
• Own the technical strategy and product roadmap for agentic workflows across the Biopharma Solutions and Therapeutics Discovery division, converting complex clinical challenges into scalable AI systems
• Establish production-grade machine learning engineering standards and reproducible architectures across the AI team to ensure absolute model transparency and scientific auditability
• Drive cross-functional alignment and technical consensus by defending agentic architectures and biological reasoning frameworks in rigorous peer reviews

Skills

• PhD or Master's degree in Computer Science, Bioinformatics, Statistics, or a related quantitative field
• 8 or more years of experience in AI research or engineering, with a proven track record of moving multi-agent orchestration architectures or large-scale language model workflows from prototype to production
• Deep experience with agentic frameworks, such as LangChain or Claude Agent SDK, retrieval-augmented generation (RAG), and validation frameworks for autonomous AI agents
• Strong understanding of cancer genomics (WES/WTS), mutational signatures, and structure-activity relationships
• Advanced production-level development experience using PyTorch and experience with distributed training on large GPU clusters, including NVIDIA H100s
• Ability to operate with absolute ownership to close operational gaps and independently drive architectural deployment
• Data-driven decision-making focused on empirical model performance and clinical validity
• Technical leadership capability to define long-term AI engineering roadmaps
• Rigor in code architecture, reproducibility, and production-grade software engineering practices
• Comfort with high intellectual friction and the ability to defend scientific and engineering choices under rigorous internal peer review
• Focus on translating machine learning outcomes directly into patient-centric clinical utility

Benefits

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

Company Overview

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