The Center for Transformative Disease Modeling is seeking highly qualified candidates with expertise and strong publication record in the development and/or application of system pharmacology approaches for drug discovery and development for Assistant, Associate, and Full Professor Faculty positions. 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.
- 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.