Bruker Corporation (NASDAQ: BRKR) is enabling scientists to make breakthrough discoveries and develop new applications that improve the quality of human life. Bruker’s high performance scientific instruments and high value analytical and diagnostic solutions enable scientists to explore life and materials at molecular, cellular, and microscopic levels. In close cooperation with our customers, Bruker is enabling innovation, improved productivity, and customer success in life science molecular and cell biology research, in applied and pharma applications, in microscopy and nanoanalysis, as well as in industrial applications. Today, worldwide more than 11.000 employees are working on this permanent challenge at over 90 locations. Bruker offers differentiated, high-value life science and diagnostics systems and solutions in preclinical imaging, clinical phenomics research, proteomics and multiomics, spatial and single-cell biology, functional structural and condensate biology, as well as in clinical microbiology and molecular diagnostics. We are looking for a motivated working student to join our small, dynamic team of software developers. In this role, you will closely interact with team members and developers from other teams, focusing on testing our instrument control software. You will perform measurements on a real mass spectrometer, either on-site or via remote desktop. We offer the flexibility to work from home. If you are passionate about software testing and eager to gain hands-on experience in the life sciences field, we would love to hear from you!Conducting software tests (e.g., functional, integration, system, and installation tests) with possible focuses on device control and data processing in the life sciences fieldDocumenting software tests according to specified guidelines and contributing to the creation of test conceptsAnalyzing software issues in collaboration with software developers and application scientistsDocumenting software issues in the bug tracking tool JIRAVerifying corrected software issues and performing regression tests Student of computer science or a natural science field (e.g., physics, chemistry, biology, engineering)Initial experience in laboratory environments and/or with computer-assisted analytical measurement systems (e.g., HPLC, GC, MS) is advantageousAffinity for software topics and scientific questions in the life sciences fieldStrong teamwork skills, systematic and well-organized working styleFluent in English, written and spoken. Good German skills are a plus