Natera

1 month ago

Staff Machine Learning Scientist, Agentic AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Lead the design and deployment of autonomous multi-agent AI systems for cancer biology, integrating multi-omic data (DNA, RNA, imaging) with transformer foundations and LLMs. Drive production-grade AI workflows, define roadmaps for agentic reasoning, and ensure reproducibility and clinical validity across the Biopharma Solutions and Therapeutics Discovery division.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key 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

Pay and Benefits

Salary: USD 169,800 - 212,300 annually

Equity and Bonus:Equity

Perks:Health Insurance401kEquityAnnual BonusPaid Leave

Key Requirements

•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

Experience:8+ yearsBiotechBioinformaticsOncologyAIGenomics

Education:PhD / Doctorate

Skills:LeadershipData-driven decision makingTechnical leadershipReproducibilityScientific auditing

Languages:English

Tech Stack:PyTorchLangChainClaude Agent SDKRAGLLMNVIDIA H100sDistributed trainingTransformer models

Company Brief

Natera

Develops and commercializes genetic testing and diagnostics focused on reproductive health, oncology, and organ transplant to inform clinical decision-making and improve patient outcomes.

Industry: Diagnostics

Company Size: Enterprise (1,001+ employees)

Revenue: USD 500M to 1B

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Carlos, United States

Founded: 2004

Website LinkedIn

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Natera

1 month ago

Staff Machine Learning Scientist, Agentic AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key 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

Pay and Benefits

Salary: USD 169,800 - 212,300 annually

Equity and Bonus:Equity

Perks:Health Insurance401kEquityAnnual BonusPaid Leave

Key Requirements

•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

Experience:8+ yearsBiotechBioinformaticsOncologyAIGenomics

Education:PhD / Doctorate

Skills:LeadershipData-driven decision makingTechnical leadershipReproducibilityScientific auditing

Languages:English

Tech Stack:PyTorchLangChainClaude Agent SDKRAGLLMNVIDIA H100sDistributed trainingTransformer models

Company Brief

Natera

Develops and commercializes genetic testing and diagnostics focused on reproductive health, oncology, and organ transplant to inform clinical decision-making and improve patient outcomes.

Industry: Diagnostics

Company Size: Enterprise (1,001+ employees)

Revenue: USD 500M to 1B

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Carlos, United States

Founded: 2004

Website LinkedIn