Assistant/Associate/Full Professor in Systems Pharmacology

We are seeking for highly qualified candidates with expertise and strong publication record in the development and/or application of system pharmacology approaches for drug discovery and development. The systems pharmacologist is expected to develop and apply systems and network biology approaches to select druggable targets for diseases like Alzheimer’s disease, identify drug candidates, study drug activities (binding and specificity) and generate/optimize drug lead molecules. The candidate will be responsible for developing drug-disease network models and evaluating drug candidates based on ADME-T properties, pharmacological data and therapeutic efficacy. The candidate will collaborate with pre-clinical and clinical teams to ensure transfer of quantitative knowledge to support the design of experimental validations and early clinical studies.

Qualifications

• PhD in Pharmacology, Chemistry, Chemical Engineering, Bioinformatics, Computational/Systems Biology, or a related field and a 3+ years of experience in these fields.
• Proficient in mechanistic modeling using R, Matlab, python or any equivalent software packages is required. Advanced knowledge of AI-based tools to efficiently analyze large datasets is desired.
• Demonstrated expertise in computational approaches for drug design (e.g. ligand-based and structure-based drug design), especially in the area of quantitative systems pharmacology is required. Expertise with statistics is highly desirable.
• Proven track records of applying system biology / network methods to issue resolution in drug discovery and developmental challenges and aiding in model-based drug development are required.
• Expertise in neurodegenerative disease or cancer is also appreciated.
• Strong communication skills, and an ability to collaborate with peers and train postdocs & graduate students effectively are required.

Assistant/Associate/Full Professor in Computational Neuroscience

We are seeking for highly qualified candidates with expertise and strong publication record 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.

Postdoctoral Fellow / Senior Scientist in Computational Biology

We are also seeking excellent candidates for Postdoctoral Fellow and Senior Scientist positions in computational  biology. Candidates must have a PhD in Bioinformatics, Neuroscience, Cancer Biology or a closely related field. The successful candidates are expected to develop and apply novel systems biology approaches to integrate multi-Omic data in cancer and neurodegenerative diseases. The candidates will work in a multidisciplinary environment including an international team of leading scientists in systems biology, cancer and neuroscience.

Please send your cover letter and resume alongside contact information of at least three referees to Prof. Bin Zhang (email: bin.zhang@mssm.edu).