Staff Machine Learning Scientist

Natera

Staff Machine Learning Scientist developing production-grade AI models for clinical insights at Natera. Leading design and deployment of advanced multi-agent systems and frameworks in bioinformatics.

Posted 7/30/2026full-timeRemote • 🇺🇸 United StatesLead💰 $163,200 - $220,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading the design and deployment of multi-agent systems and advanced LLM reasoning frameworks, with a strong foundation in cancer genomics and machine learning engineering standards. Proven ability to translate complex data into actionable insights while driving technical strategy and cross-functional alignment.

Highest-signal resume keywords

PhD Or Master's Degree In Computer Science8+ Years Of Experience In AI Research Or EngineeringDeep Experience With Agentic FrameworksAdvanced Production-Level Development Experience Using PyTorchStrong Understanding Of Cancer Genomics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Multi-Agent Systems DesignLarge-Scale Language Model WorkflowsAgentic FrameworksMachine Learning Engineering StandardsBiological Reasoning FrameworksHypothesis GenerationTool UseData TranslationProduction DeploymentDistributed Training

Soft Skills

Cross-Functional AlignmentTechnical Consensus

Tools & Technologies

PyTorchNVIDIA H100sLangChainClaude Agent SDK

Industry Keywords

Cancer GenomicsWESWTSMutational SignaturesStructure-Activity RelationshipsBiopharma SolutionsTherapeutics Discovery

Tech Stack

Tools & technologies

PyTorchReact

About the role

Key responsibilities & impact

Lead the technical design and deployment of multi-agent systems capable of autonomous hypothesis generation and tool use.
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.
Architect systems that autonomously translate complex, multi-modal data into diagnostic and therapeutic insights.
Own the technical strategy and product roadmap for agentic workflows across the Biopharma Solutions and Therapeutics Discovery division.
Establish production-grade machine learning engineering standards and reproducible architectures across the AI team.
Drive cross-functional alignment and technical consensus by defending agentic architectures and biological reasoning frameworks.

Requirements

What you’ll need

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.
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.
Strong understanding of cancer genomics (WES/WTS), mutational signatures, and structure-activity relationships.
Advanced production-level development experience using PyTorch.
Experience with distributed training on large GPU clusters, including NVIDIA H100s.

Benefits

Comp & perks

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.