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 in addition to fertility care benefits
- Pregnancy and baby bonding leave
- 401k benefits
- Commuter benefits
- Generous employee referral program
Company Overview
Company H1B Sponsorship