Research focused on identifying and validating blood- and CSFbased biomarkers for neurodegenerative and neuropsychiatric disorders, using machine learning and advanced statistical methods within international consortia and clinical trials. Current projects include:

• Identification of novel prognostic biomarkers for
  Alzheimer’s disease and cognitive decline
• Validation of plasma biomarkers for Alzheimer’s disease
  in diverse populations and establishment of diagnostic
  cut-offs
• Identification of predictive biomarkers of
  psychotherapeutic treatment response in late-life
  depression
• Development of tools for the prediction of biological aging

Main responsibilities include:

•  Leading projects involving the design and analysis of
  complex longitudinal datasets, with emphasis on survival analysis, mixed-effects modeling, biomarker predictive performance, and reproducible data analysis workflows
• Biomarker assay validation and implementation
• Supervision of students and technical assistants
• Biobank coordination and database maintenance
• Preparation of scientific publications, conference
  presentations, consortia reports, and grant applications
• Teaching activities in MSc courses

• PhD or doctoral degree in a life-science-related discipline, such as: Life-science informatics, Molecular medicine, Genetics, Data science, Molecular epidemiology, Public health
• Motivated, collaborative, and team-oriented researcher
• Able to work with high degree of independence
• Strong expertise in "omics"-epidemiological analysis of large cohort data
• Experience working with large cohort datasets is a strong advantage

• Everything but ordinary: You can expect a secure job in a challenging, innovative environment – including company pension schemes and regular working hours without business trips.
• Work-life balance: Whether full-time or part-time, with or without children – with numerous support options, we will find the right path together.
• Team spirit in R(h)ine culture: You will be warmly welcomed by an interdisciplinary team that values mutual respect and helpfulness.
• Strong perspectives: We offer extensive training opportunities – so you can continuously grow and set new goals.

Conduct research on the identification and validation of blood- and CSFbased biomarkers associated with neurodegenerative and neuropsychiatric disorders, applying machine learning and advanced statistical methods within international consortia and clinical trials.
Current projects focus on identifying novel prognostic biomarkers for Alzheimer’s disease and cognitive decline, validating plasma biomarkers for Alzheimer’s disease across diverse populations, establishing diagnostic cut-offs, identifying predictive biomarkers of psychotherapeutic
treatment response in late-life depression, and developing tools for the prediction of biological aging.
Main responsibilities include leading projects involving the design and analysis of complex longitudinal datasets, with emphasis on survival analysis, mixed-effects modelling, biomarker predictive performance, and reproducible data analysis workflows. Additional responsibilities include
biomarker assay validation and implementation, supervision of students and technical assistants, biobank coordination and database maintenance, and preparation of scientific publications, conference presentations, consortia reports, and grant applications. Teaching
activities include contributions to MSc-level courses.