

Pattern Agentix
https://www.patternagentix.comAbout
Pattern Agentix is a next-generation research platform designed to transform the way interdisciplinary research is conducted. By integrating enriched datasets, advanced technologies, and customizable workflows, the platform empowers researchers to achieve deeper insights and faster discoveries. From genomics to material science, Pattern Agentix is redefining the future of scientific innovation
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Pattern Agentix is a next-generation research platform designed to transform the way interdisciplinary research is conducted. By integrating enriched datasets, advanced technologies, and customizable workflows, the platform empowers researchers to achieve deeper insights and faster discoveries. From genomics to material science, Pattern Agentix is redefining the future of scientific innovation
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Jobs at Pattern Agentix

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Pattern Agentix (patternagentix.com) is seeking a computational bilogist to assume the role of Lead AI researcher to create advanced multi-agent AI systems leveraging cutting-edge AI research and Retrieval-Augmented Generation (RAG) techniques. The ideal candidate should have a strong academic and research background in AI, demonstrated through published research papers, open-source contributions (e.g., GitHub).
Exposure to bioinformatics or some background in bioinformatics is a compulsory requirement. The candiate will apply computational techniques, mathematical models, and computer science skills to analyze and interpret complex biological data.
Required Skills & Experience
Master’s or Ph.D. in AI, Machine Learning, Computer Science, or a related field with some exposure to bioinformatics.
Strong AI research background, demonstrated through peer-reviewed publications in top-tier AI/ML conferences or journals (e.g., NeurIPS, ICML, AAAI, CVPR, ACL, etc.).
Proficiency in Python and experience with AI/ML frameworks (e.g., PyTorch, TensorFlow).
Experience with multi-agent AI systems and their architectural design.
Project Scope
The project involves developing a sophisticated multi-agent system that:
that automates hypothesis generation in biomedical research using large bimedical research data sets..
We are open on compensation models but compensation will be aligned to local norms. We would consider part time or full time.

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