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Position: Senior Data Scientist - Biomedical Knowledge Graph
Institution: Qiagen
Location: Aarhus, Denmark
Duties: Design, implementation and maintenance of biological knowledge graphs, databases and related applications; Integration of knowledge graph machine learning and biostatistics algorithms into applications; Design, implementation, and optimization of systems that incorporate Large Language Models to enhance local knowledge accessibility, including contributing to implementation hands-on; Research emerging trends and scientific methods in systems biology and related fields
Requirements: PhD in bioinformatics/PhD in computer and data science and related fields but with required biological or biomedical exposure/MS in afore mentioned fields with additional industry experience; Comprehensive understanding of design principles for biological knowledge graph ie. how to design database for bioinformaticians; Proficiency in languages such as Python, R, Java for data manipulation, analysis, and application development; Experience designing and implementing systems that leverage LLMs, building LLM applications with vector databases and agent architecture in frameworks like LangChain is a plus
   
Text: Senior Data Scientist - Biomedical Knowledge Graph Design, implementation and maintenance of biological knowledge graphs, databases and related applications; Integration of knowledge graph machine learning and biostatistics algorithms into applications; Design, implementation, and optimization of systems that incorporate Large Language Models to enhance local knowledge accessibility, including contributing to implementation hands-on; Research emerging trends and scientific methods in systems biology and related fields PhD in bioinformatics/PhD in computer and data science and related fields but with required biological or biomedical exposure/MS in afore mentioned fields with additional industry experience; Comprehensive understanding of design principles for biological knowledge graph ie. how to design database for bioinformaticians; Proficiency in languages such as Python, R, Java for data manipulation, analysis, and application development; Experience designing and implementing systems that leverage LLMs, building LLM applications with vector databases and agent architecture in frameworks like LangChain is a plus
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