We are seeking a motivated and passionate postdoctoral researcher to work on computational systems biology and human diseases modeling. The successful candidate will work in an exciting interdisciplinary environment. We routinely interact with other Mount Sinai labs (clinical, wet-lab or computational groups) as well as other national and international collaborators, providing numerous opportunities for exciting research and high impact publications. We work on data across a range of conditions and currently we have collaborations on Alzheimer’s disease, pluripotent and differentiated stem cells and a variety of cancers.
We are an interdisciplinary lab with our research spanning from advanced mathematical methods development to applied, real-world disease modeling. Accordingly we are interested in candidates with profiles fitting into one of two categories:
1. Computation methods and software development:<\p>
The applicant is expected to focus on novel method developments and software development. The candidate will be responsible for developing cutting-edge machine learning approaches, and is expected to develop software platforms towards real-world human disease network modeling and drug target prediction. The position holder will also be expected to apply these methods to real-world data and help with data processing and analysis tasks.
2. Bioinformatics and real-world disease modeling:
The applicant is expected to focus on real-world disease modeling and have a strong background in bioinformatics. The candidate will be responsible for processing and analyzing multi-scale omics data and leveraging cutting-edge methods to reconstruct disease models and generate in-silico hypothesis on drug targets.
The successful candidate must be able to work closely with our method development team and our national and international clinical, wet and computational lab collaborators.
For both profiles, the successful candidate will be supervised by Dr. Rui Chang and will have the opportunity to develop their own research ideas as they fit within the general research interests of our group.