The Center for Transformative Disease Modeling is seeking for highly qualified candidates for Assistant, Associate, and Full Faculty positions in computational Neuroscience. The computational neuroscientist is expected to develop cutting-edge data mining and network inference algorithms to analyze large-scale genetic, epigenetic, genomic, and clinical data in neurodegenerative diseases such as Alzheimer’s and Parkinson’s diseases. This candidate will be responsible for delivery of novel disease biomarkers and targets, biologically plausible disease models for experimental validations.
Qualifications
- PhD in Neuroscience, Computational Neuroscience or a closely related field and 3+ years of experience in these fields.
- Up-to-date knowledge on signaling pathways and mechanisms in neurodegenerative diseases.
- Previous experience in target identification or validation in neurodegenerative diseases, especially Alzheimer’s disease.
- Expertise in cutting edge techniques, particularly single cell sequencing as well as modeling of brain cell communications and brain connectome.
- Suitable for working in a collaborative multi-disciplinary environment.
- Strong communication skills, and an ability to collaborate with peers and train postdocs & graduate students effectively are required.