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Senior Machine Learning Scientist, Agentic AI

Cobalt Streamworks · United States · Posted 12d ago

remotesenior5-8 yrsEstimated 113k-258k USD🇺🇸 United States
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About the role

Design and deploy production-grade autonomous AI agents for cancer biology insights using multi-omic datasets.

POSITION SUMMARY: Cobalt Streamworks is seeking a Senior Machine Learning Scientist to join our AI team, an advanced R&D and core AI innovation team bridging the gap between molecular discovery and clinical execution. Leveraging a proprietary data moat of over 250,000 oncology patients profiled with longitudinal ctDNA, WES/WGS, digital pathology, and EMR data, you will design and deploy production-grade autonomous AI agents and multi-modal foundation models. Your mission is to architect systems capable of multi-step biological reasoning, converting complex multi-omic datasets into verifiable clinical insights that accelerate biomarker and therapeutic discovery. You will lead the next evolution of our Agentic AI platform, designing autonomous systems capable of reasoning through the complexities of cancer biology, orchestrating proprietary foundation models, and simulating virtual patient trajectories. PRIMARY 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 Cobalt Streamworks ’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 QUALIFICATIONS: 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 KNOWLEDGE, SKILLS, AND ABILITIES: 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 The pay range is listed and actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations. Remote USA $169,800—$212,300 USD Compensation & Total Rewards This range reflects a good-faith estimate of the base pay we reasonably expect to offer at the time of hire. Final compensation will vary based on experience, qualifications, and internal equity considerations. This position is also eligible for additional compensation and benefits through Cobalt Streamworks ’s robust Total Rewards program, including: Annual performance incentive bonus Long-term equity awards Comprehensive health benefits (medical, dental, vision) 401(k) with company match Generous paid time off and company holidays Additional wellness and work-life benefits Compensation Range $160,335.12—$200,418.90 USD OUR OPPORTUNITY Cobalt Streamworks ™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives. The Cobalt Streamworks team consists of highly dedicated statisticians, geneticists, doctors, lab

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FAQ

Is the Senior Machine Learning Scientist, Agentic AI role at Cobalt Streamworks remote?+

This Senior Machine Learning Scientist, Agentic AI position is listed as remote (United States).

What is the salary for the Senior Machine Learning Scientist, Agentic AI role at Cobalt Streamworks?+

The listing states Estimated 113k-258k USD.

What seniority level is this Senior Machine Learning Scientist, Agentic AI role?+

This is a senior level position.

How do I apply for the Senior Machine Learning Scientist, Agentic AI role at Cobalt Streamworks?+

Use the "Apply on himalayas" button to open the original posting on himalayas, where you can submit your application directly to Cobalt Streamworks.