Data Scientist in Personalized Medicine

4 days ago


Gothenburg, Västra Götaland, Sweden Göteborgs Universitet Full time
Data Scientist for Personalized Medicine

As a PhD student in statistics and machine learning, you will contribute to the development of innovative statistical methods and machine learning algorithms for personalized medicine under the supervision of Professor Rebecka Jörnsten.

This project, part of the CNSx3: Transformative Models for Brain Diseases project, focuses on developing statistical and machine learning methods for personalized medicine. You will work on reinforcement learning methods to propose optimal sequential and combination therapies for individual patients.

To succeed in this role, you must have a strong background in one or several of the following areas: reinforcement learning, statistical machine learning, programming, working with diverse data sources, and/or biological applications (e.g., genomic data, image data, biological databases).

  • You will conduct original research in the field of machine learning and statistics.
  • You will collaborate with our team to develop novel methods for personalized medicine.
  • You will present your research findings at conferences and workshops.

This fixed-term position has a maximum duration of five years, divided into four years of study and up to one year of departmental work. Good presentation and communication skills in English are essential.



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