Who is Larix?
Larix A/S is a Nordic Contract Research Organisation (CRO) – we offer full-service solutions within the pharmaceutical, biotech and medical device areas. Our headquarters are located in Herlev near Copenhagen, and we have strong ties to the thriving pharmaceutical and biotech activities in this region.
At Larix, we maintain a friendly atmosphere – we think having fun while working is important, and we prioritize creating a work environment with a healthy work-life balance. We are a relatively small company with approximately 70 employees, and we have all the benefits of being able to collaborate across functions, learn from each other and follow clinical study processes from start to finish.
Are you an experienced statistical programmer who is looking for a diverse and challenging job in a friendly environment?
Then join our statistical programming department that is currently growing and looking for senior statistical programmers.
What you will do
At Larix, you will be part of our Statistical Programming Department in Denmark. We are a team of seven statistical programmers, who currently provide statistical programming support within the area’s biostatistics and epidemiology. Dependent on the size of the task we either work independently or in teams, but we always find time to help and discuss with each other.
As a member of the programming team, you will typically be responsible for a number of clinical studies or other tasks within drug development for different clients. This means that you will often handle different indications and development phases at the same time. You willwork on these tasks either from our offices in Herlev together with colleagues within Larix, or you will work from a client’s office in the Copenhagen area together with their staff. Based onyour preferences and the tasks at hand we try to find a balance that suits you.
Our focus is to deliver quality on time for our customers, which we also expect from you. In return, we offer a flexible setting; for example, we are open towards part-time- or home-based team members.
