Radboudumc – Assistant professor Bioinformatics for Personalized Medicine

Job description
We are looking for an enthusiastic and ambitious researcher who develops and applies innovative, computational methods to advance personalized medicine approaches. The candidate is dedicated to make a significant impact on future health care. His/her research should focus at the understanding of genetic variation and variation in other molecular biomarker (-omics) profiles and their translation into personalized therapeutics and intervention and to the fundamental understanding of molecular mechanisms underlying health and disease.

A possible research direction for the candidate can be the use of deep learning and other advanced data science approaches to predict the impact of genetic variants on protein structure and function. But also other innovative approaches to personalised medicine will be considered. This will be facilitated by the availability of large cohorts with deep clinical phenotypes and clinical follow-up data from different domains, including cancer, neurological diseases and intellectual disability, and an ambitious, methodology-driven, and stimulating research environment. Funding and supervision of a PhD student will be part of the start-up package of the tenure track. Conditions for successful completion of the tenure track will be defined upfront.

You hold a PhD in Bioinformatics or hold a degree in Computer Science with a proven interest in the biomedical sciences. You must demonstrate a strong dedication to research and be interested in solving important biomedical research questions with novel computational approaches. Your publication record must be solid, including several papers as senior author in leading journals, and you have demonstrated to be able to attract funding independently of other PIs.

You are a team player with strong communication skills and enjoy building bridges between different science disciplines. Participation in teaching and supervision of undergraduate and graduate students is expected and a teaching qualification (basis kwalificatie onderwijs) or the desire to obtain one is a must.

The Centre for Biomolecular and Molecular Informatics (CMBI) is well known for the development of new computational approaches for the study of the genetic variation and commonly used tools and webservices for protein function and structure prediction and for its ability to turn ‘omics data into biomedical understanding. The CMBI develops bioinformatics approaches that contribute to the understanding of disease mechanisms, personalized therapies and interventions, and a learning health care system. The CMBI is committed to the reusability of their data, tools, and services and contributes to the education of biomedical and molecular life science students. CMBI’s mission is to add value to personal health data by their translation into integrative knowledge and actionable information.

Radboudumc strives to be a leading developer of sustainable, innovative and affordable healthcare to improve the health and wellbeing of people and society in the Netherlands and beyond. This is the core of our mission: To have a significant impact on healthcare.

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