Research and Development Specialist in Cheminformatics | Luxembourg City, Luxembourg | University of Luxembourg

Position:	Research and Development Specialist in Cheminformatics
Institution:	University of Luxembourg
Location:	Luxembourg City, Luxembourg
Duties:	The Research and Development Specialist will be responsible for establishing, developing and maintaining new and existing computational mass spectrometry and cheminformatics software and workflows, primarily for target and non-target metabolomics, exposomics and environmental analysis within the Environmental Cheminformatics Group and within the scope of our responsibilities within PARC. The open position is part of the European “Partnership for the Assessment of Risks from Chemicals” (PARC) project, co-funded by the European Union
Requirements:	MSc degree (or equivalent) in bioinformatics, cheminformatics, chemistry, environmental sciences, mathematics, computer science or related fields; Experience in or willingness to learn: R, python, Java, web services, Docker containers and UI design; Git-based subversion control (GitHub, GitLab); Non-target workflows for mass spectrometry data; Major cheminformatics toolkits (e.g. CDK, RDkit, OpenBabel); Ability to design, implement and maintain new and existing code, services, workflows and data analysis for research activities

Text:	Research and Development Specialist in Cheminformatics The Research and Development Specialist will be responsible for establishing, developing and maintaining new and existing computational mass spectrometry and cheminformatics software and workflows, primarily for target and non-target metabolomics, exposomics and environmental analysis within the Environmental Cheminformatics Group and within the scope of our responsibilities within PARC. The open position is part of the European “Partnership for the Assessment of Risks from Chemicals” (PARC) project, co-funded by the European Union MSc degree (or equivalent) in bioinformatics, cheminformatics, chemistry, environmental sciences, mathematics, computer science or related fields; Experience in or willingness to learn: R, python, Java, web services, Docker containers and UI design; Git-based subversion control (GitHub, GitLab); Non-target workflows for mass spectrometry data; Major cheminformatics toolkits (e.g. CDK, RDkit, OpenBabel); Ability to design, implement and maintain new and existing code, services, workflows and data analysis for research activities