Python Software Engineer - Scientific Computing (m/f/d)

• As a Python Software Engineer, you will be responsible for designing, implementing, and maintaining scalable Python packages that support our scientific modeling and engineering workflows.
• You will propose and implement clean software architectures, including class hierarchies, abstraction layers, and modular package structures.
• You will actively contribute to the evolution of our proprietary Python toolchain and collaborate closely with our modeling and engineering teams.
• You will help drive best practices in software engineering, code quality, versioning, documentation, and packaging.

• A Master’s degree or equivalent experience in computer science, software engineering, computational sciences, or a related field.
• Strong and demonstrable expertise in Python 3, including object‑oriented design, abstract base classes, interfaces, and scalable package structures.
• Highly motivated to work collaboratively at a scientific computing library esnuring highest coding quality
• Familiarity with mathematical and statistical modelling concepts is a strong plus Specific modelling areas include (statistical analysis, predictive modelling, uncertainty quantification, optimisation, machine learning, differential equations)
• Work along project deadlines
• Experience in building or contributing to open-source Python libraries (e.g., scientific computing, data tools, CLI frameworks, etc.) is beneficial
• Solid understanding of software development principles, including testing (pytest), packaging (pip), documentation frameworks, and continuous integration.
• Experience with Git and collaborative development workflows.
• Experience with numerical computing libraries (NumPy, SciPy, pandas)
• Previous exposure to biotechnology or the biopharmaceutical sector is not required

• Flexible working hours
• Flat hierarchies and efficient internal communication
• Being part of internationally growing team
• Daily meal allowance of EUR 8.00
• Annual ticket of "Wiener Linien / VOR"
• Internal and external training and further development opportunities
• Nice office and modern working atmosphere in the heart of Vienna