Neuroimaging Data Analyst

Vor 3 Tagen


Frankfurt am Main, Hessen, Deutschland Universitätsklinikum Frankfurt Vollzeit
Company Overview

The Universitätsklinikum Frankfurt is a leading medical research institution with a rich history dating back to 1914. Our hospital boasts over 7,500 employees across 33 specialist clinics and institutes, providing exceptional patient care and advancing medical knowledge through innovative research.

Salary Information

We offer an attractive salary range of €40,000 - €60,000 per annum for this part-time position (70% capacity), commensurate with qualifications and experience.

Job Description

We are seeking a highly skilled Doctoral Researcher in Computational Neuroimaging to join our esteemed research group at the Goethe University Hospital in Frankfurt am Main. As part of the LOEWE Center DYNAMIC, you will contribute to cutting-edge research in neuroimaging genetics and transcriptomics, leveraging advanced analytical frameworks to enhance network-based approaches for mental health condition stratification.

Your primary responsibilities will include:

  • Conducting state-of-the-art research into the molecular underpinnings of mental health conditions, collaborating with international research collaborations and participating in ongoing European projects.
  • Developing novel analytical frameworks integrating Magnetic Resonance Imaging (MRI) data with genetic transcriptomic data to inform personalized medicine approaches.
  • Applying sophisticated analytical techniques to large-scale cohorts to identify biomarkers for mental health conditions.
Requirements and Qualifications

To succeed in this role, you will require:

  • A Master's degree in Bioinformatics, Computer Science, Biomedical Engineering, or Computational Neuroscience, with expertise in big data analytics and programming languages like R and C++.
  • Strong programming skills and experience working with large datasets.
Benefits and Opportunities

This exciting opportunity offers:

  • Participation in high-profile research projects and collaborations.
  • Access to cutting-edge equipment and infrastructure.
  • Collaborative work environment with expert researchers and clinicians.


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