Josefine’s background includes six years of experience from life science, with roles in health economics consultancy and global pharmaceutical companies. She is a statistical scientist specialized in health economic modelling, programming, machine learning, big data analytics and real-world evidence.

 

In her previous employment at SOBI she was responsible for statistical analysis in clinical trials and observational studies. She has also worked as Senior Research Analyst at Quantify Research, supporting Nordic reimbursement applications, development of global health-economic models and literature reviews. She has experience in multiple disease areas including oncology, CNS, haemophilia, and orphan diseases.

 

Josefine holds a BSc in Mathematics with a profile in Computational Biology from Stockholm University and a MSc in Applied and Computational Mathematics from KTH (Royal Institute of Technology). Her bachelor thesis work was to build a simulation model for analysis of NGS data in collaboration with SciLifeLab and her master thesis work was to develop a machine learning model for liver cancer diagnostics in collaboration with Moderna and Karolinska Institutet.