Postdoctoral research fellow on the topic „Development of prediction models for the disease course of multiple sclerosis based on multi-omics and health care data” (m/f/d)

21.01.2022, Wissenschaftliches Personal

The Department of Neurology at TUM is offering a Postdoctoral research fellow position on the topic „Development of prediction models for the disease course of multiple sclerosis based on multi-omics and health care data”

Starting preferably on March 1st 2022.

The Department of Neurology at TUM has a focus on inflammatory and degenerative diseases of the central nervous system with a particular interest in multiple sclerosis and Parkinson's disease. Research activities involve experimental models, clinical trials, imaging, biomarker, and genetic studies to better understand the pathophysiology of diseases, monitor and predict the disease course, and develop new treatment strategies. The young investigator group “Biomedical Informatics in Systems Neuroscience” aims at the identification of proteomic biomarkers in the cerebrospinal fluid for the disease course and treatment response in patients with multiple sclerosis, to investigate the molecular mechanisms underlying changes in the cerebrospinal fluid proteome with a strong focus on genetic factors and to develop prediction models for the disease course and treatment response in multiple sclerosis. Furthermore, the group focuses on the use of health care data for the development of prediction models for multiple sclerosis.

Your tasks:

• Integration of multi-omic data (including clinical, laboratory, genetic data) as well as health care data from thousands of patients and controls
• Clustering of patients with MS according to omics, clinical, paraclinical, and imaging data using unsupervised clustering methods as well as supervised machine learning algorithms
• Development of prediction models and biomarkers for the course of the disease and for treatment responses in MS

• You are a highly qualified and motivated scientist holding a (or be close to obtaining) PhD degree or equivalent degree in bioinformatics, statistics, computer science or related fields
• You have practical scientific expertise and strong theoretical background in biomedical statistics and in the operation of multi-omics data analysis-pipelines
• You have motivation and experience in developing and implementing machine-learning algorithms
• You have very good programming skills
• You show a strong commitment, motivation, and discipline to work independently and efficiently
• You are a strong team player with the ability to work together with colleagues from various disciplines
• You show an excellent ability to communicate, present, and write in English

• A versatile and exciting position in a young investigator research group, consisting of the project leader, one postdoctoral researcher and two PhD students
• An outstanding international research environment
• Excellent infrastructure for research in an attractive, versatile workplace
• Access to national and international research networks
• Flexible working hours
• A place of work in the center of Munich at Max-Weber-Platz, with excellent accessibility via public transport and discounted job tickets
• Payment based on the German TV-L E13 scale (100%)

We look forward to receiving your application with the usual documents until March 31st, 2022 via e-mail at [email protected]. Applications should include a CV, cover letter, certificates and the expected availability date.
Equally well qualified disabled persons will be given priority. We value diversity and welcome all applications – regardless of gender, nationality, ethnic or social origin, religion, disability, age, sexual orientation and identity.
For further information please contact
Dr. Christiane Gasperi via e-mail: [email protected]

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Kontakt: [email protected]