Student Assistant for Pharmacometrics - Coding, AI & Scientific Software Infrastructure

.Do you want to use your coding skills to support model‑based drug development in real clinical projects? Are you curious about R packages, AI‑assisted workflows and scientific software infrastructure used in pharmaceutical research? We are looking for two motivated Student Assistants to join our Pharmacometrics area at [xxxxx] in Søborg.Your new roleAs our Student Assistant, you will primarily support colleagues working with R packages, modelling infrastructure, automation, documentation and AI-enabled workflows. You may also occasionally support pharmacometrics modelling scientists with smaller technical or data-related tasks.The role is well suited for a student who enjoys writing clean code, structuring information, improving workflows and solving practical problems that help many people work better. Your tasks may include:

Contributing to internal R packages, for example by fixing smaller bugs, improving functions, writing tests or updating examples

Supporting package documentation, including “getting started” guides, vignettes, user instructions and examples

Helping maintain and improve internal PMX IT guidance and other documentation used across the department

Working with Git for version control, issue tracking, pull requests and code review workflows

Digitising figures and plots from relevant scientific publications, potentially using approved AI or LLM-based approaches

Supporting exploratory side-projects involving AI, automation or workflow optimisation

Helping structure information so it can be reused across projects, for example in databases, templates or shared repositories

Occasionally assisting modelling scientists with data preparation, quality control, literature extraction or reproducible analysis tasks

You will work closely with experienced colleagues who will review your work, help you develop your skills and make sure your contributions fit into our scientific and technical workflows.Your new departmentYou will join a multidisciplinary Pharmacometrics department of approximately 40 scientists with diverse quantitative backgrounds. The department supports clinical development projects across [xxxxx] using model‑based approaches, from early clinical development to regulatory submissions.In addition to project modelling, the department places increasing focus on robust infrastructure, reusable tools, high‑quality documentation and AI‑supported workflows to enable efficient and reproducible science. You will be part of an ambitious, collaborative environment where your technical contributions can support many colleagues and ultimately help bring new medicines to patients.Your skills and qualificationsWe are looking for curious and responsible students who are eager to apply their technical skills in a real‑world scientific setting. You are preferably early in your studies, with at least a couple of years left, allowing us to invest in your development over time.You ideally bring:

Ongoing studies in computer science, software engineering, data science, statistics, mathematics, engineering, physics, bioinformatics, pharmacy or similar

Programming experience in R; Python experience is also relevant

Familiarity with Git and collaborative code workflows

Experience with writing, testing or documenting code, such as R packages, Quarto or Markdown

An interest in scientific computing, automation or AI‑based tools

You do not need prior experience in pharmacometrics. What matters most is that you are structured, quality‑minded, comfortable asking questions and motivated to build tools that other scientists can rely on. You are fluent in English, both written and spoken.Working at [xxxxx]Every day we seek the solutions that defeat serious chronic diseases. To do this, we approach our work with determination, constant curiosity and a commitment to finding better ways forward. For over 100 years, this dedication has driven us to build a company focused on lasting change for long‑term health. One where diverse thinking, shared purpose and mutual respect come together to create extraordinary results. When you join us, you're not just starting a job – you're becoming part of a story that spans generations.What we offerThere is, of course, more on offer here than the uniqueness of our culture and the extraordinary results we produce. Being part of a global healthcare company means opportunities to learn and develop are all around us, while our benefits are designed with your career and life stage in mind.Deadline:28th June.