Pattern Agentix

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.