Scientific Software Engineer (EP-SFT-2025-206-LD), Geneva, Switzerland

The role of Scientific Software Engineer typically requires strong expertise in software development tailored to scientific research and data analysis. Candidates are expected to have proficiency in programming languages commonly used in scientific computing such as Python, C++, and possibly Fortran. Experience with scientific libraries and frameworks like NumPy, SciPy, or ROOT is often essential. Familiarity with software engineering best practices, including version control systems (e.g., Git), testing, and continuous integration, is important to ensure code quality and reproducibility. The position may also involve working with large datasets, so knowledge of data management, parallel computing, and performance optimization techniques is valuable. A solid understanding of the scientific domain relevant to the employer, such as physics or engineering, can enhance the ability to develop effective software solutions. Candidates usually hold a degree in computer science, physics, engineering, or a related field, reflecting a strong foundation in both software development and scientific principles. Experience in collaborative, interdisciplinary environments and good communication skills are beneficial for interacting with researchers and stakeholders. While the provided job details lack explicit information on experience level and education, the role generally suits candidates with several years of relevant software engineering experience in scientific contexts and at least a bachelor's or master's degree in a technical discipline.