PhD Candidate - AI/ML Drug Discovery for Brain Diseases

Core responsibilities:

• Analyse disease mechanisms, facilitated by cutting-edge data from techniques like spatial transcriptomics and protein mass spectrometry
• Contribute to the development of graph-based deep learning and foundational modeling methodologies
• Identify and participate in designing the validation of disease targets by understanding tissue state changes and perturbation responses in peripheral blood, cerebrospinal fluid, and brain tissue from central nervous system disease patients, alongside extensive single-cell platform data
• Present your research at international meetings

This role contributes to developing groundbreaking solutions for a healthier society by focusing on AI/ML drug discovery for brain diseases, with the opportunity to make an important contribution for a healthier society through collaborative research on neurological disorders.

Required qualifications:

• Currently pursuing or recently obtained a Master's or equivalent degree in Computer Science, Bioinformatics, Computational Biology, Biology, or a related field
• Demonstrated proficiency in programming languages and workflows used in data science (e.g. Github, Python) and willingness to learn and use deep learning frameworks (e.g. PyTorch)
• Strong interest in contributing to the development of perturbation models, gaining an understanding of the complexities of neurological disorders, and contributing to effective management and treatment strategies
• Demonstrated ability to work collaboratively in a multidisciplinary team
• Excellent, demonstrated communication skills
• Demonstrated scientific curiosity, initiative, and learning agility

Benefits include:

• Remuneration and social security benefits based on the German Collective Wage Agreement for Public-Sector Employees at Federal Level (EG 13 50% TV EntgO Bund)
• Possibility of receiving an allowance if applicable conditions are met
• Scientific Training: Helmholtz Munich Graduate School
• Career counseling: Career Center for PhD candidates
• Scientific Resources: State-of-the-art infrastructure and Core Facilities
• Health Promotion: Sports, company doctor, mental health initiatives
• International Staff Service: Support with relocation and integration in Germany
• Flexible working models and remote options
• Supportive environment for balancing work and family life