DNAnexus
Tech / AI / Software
Sr.BioinformaticsEngineer
Neural analysis suggests this role is
optimal for mid candidates.
“Sr. Bioinformatics Engineer at DNAnexus. Skills: bioinformatics, LLM, RAG, large-scale data processing, Python. Design, develop, and deploy core components of the DNAnexus Agentic Platform. Integrate advanced LLM capabilities and RAG (Retrieval-Augmented Generation) systems”
What You'll Achieve.
enable more intelligent, automated, and reliable execution of complex scientific data processes in the cloud
Industry & Context.
What They're Looking For.
Must Have
5+ years of professional experience in software development (preferably in Python), Excellent communication and collaboration skills to work effectively with cross-functional teams (scientists, product managers, engineers)
Nice to Have
Prior experience or interest in AI/ML, particularly integrating LLMs, RAG, or other agentic systems into production workflows is a significant advantage
What You'll Do.
and deploy core components of the DNAnexus Agentic Platform
Integrate advanced LLM capabilities and RAG (Retrieval-Augmented Generation) systems
Stay current with the latest advancements in AI
and bioinformatics technology
How You'll Work.
Team & Collaboration
Collaborate with bioinformatics scientists and product managers; Share bioinformatics knowledge within the team of engineers; work effectively with cross-functional teams (scientists, product managers, engineers)
Communication Scope
Excellent communication and collaboration skills
Full Job Description
DNAnexus is the leading cloud-based SaaS company serving the global life science community. DNAnexus’ health informatics platform serves customers across a spectrum of industries — government, biopharmaceutical, clinical diagnostics, healthcare, and academic research in 33 countries with compliant protection of data, privacy, and intellectual property. The platform provides a secure and collaborative environment where genomics, multi-omics, and real world data can be combined with clinical data at scale, providing new insights that can lead to improved diagnostics, new targeted therapies and better patient care. Team Summary Our platform manages over 125 petabytes of data, processes 50 billion records, and handles 3 billion API calls monthly. With thousands of users depending on us, there is a clear imperative to leverage powerful frontier LLM models and execute on DNAnexus’ Agentic Platform. The platform enables agent-based systems to provide clinical and molecular data workflows in a highly scalable and regulated (PHI) environment. The goal is to enable more intelligent, automated, and reliable execution of complex scientific data processes in the cloud. We’re Looking For * A strong background in bioinformatics, computational biology, or a related scientific field. Candidates who can help us nurture this knowledge within the team. * Extensive experience with large-scale data processing and analysis pipelines (e.g., WES, WGS, RNA-Seq). * Experience developing and integrating with LLMs, RAG systems, or other agentic frameworks for scientific data workflows is highly desirable. * Proficiency with relevant bioinformatics tools and databases, we will integrate this to Agentic pipelines Responsibilities * Design, develop, and deploy core components of the DNAnexus Agentic Platform, focusing on robust, scalable, and secure systems for genomic and multi-omic data analysis. * Integrate advanced LLM capabilities and RAG (Retrieval-Augmented Generation) systems to create int
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