Bridging the Gap: Aligning Software Engineering Practices with Research Goals in Scientific Organizations

Introduction: The Apprentice's Dilemma Step into the shoes of a software engineering apprentice, and you’ll quickly encounter a jarring disconnect. On one side lies the academic ideal—structured code, rigorous testing, and maintainability as sacred tenets. On the other, the pragmatic reality of a research organization, where scientific outcomes reign supreme, and software engineering practices are often an afterthought. This mismatch isn’t just theoretical; it’s a daily struggle for apprentices like the one whose query sparked this investigation. Their story is a microcosm of a systemic issue: how research organizations prioritize science over software, leaving apprentices to navigate a landscape where their training feels misaligned with their tasks. Consider the apprentice’s assigned projects: maintaining a Fortran codebase described as “95% copying and pasting” and updating a Python library reliant on outdated dependencies. These tasks, while scientifically critical, offer little ex