The Center for Innovation in Brain Science (CIBS) is the intellectual home for Neuroscience research across the University of Arizona campus. We specialize in research focusing on a cure for four neurodegenerative diseases; Alzheimer’s Disease, Amyotrophic Lateral Sclerosis (ALS), Multiple Sclerosis, and Parkinson’s Disease. Our mission is to bring the innovations in brain science of the future to those who need a cure today.
Dr. Chang’s lab in CIBS is an interdisciplinary lab composed by computer scientists, bioinformaticians and biologists dedicated to researches from developing advanced mathematic algorithms in statistics/machine learning to applied real-world disease modeling. Our researches are fund by NIH. We work with a wide spectrum of disease conditions, including cancer, stem cell, Type2-Diabetics, Cardiovascular diseases, and neurodegenerative diseases (Alzheimer’s disease, MS, ALS, and
Parkinson Disease, Lewy Body Dimentia). We collaborate with clinicians, wet-labs at UofA as well as labs at world-class institutions, such as Columbia, Stanford, Duke, Mayo Clinic, Harvard/Broad, Emory, and Baylor, providing enormous opportunities for exciting research projects and high impact publications.
Our lab is seeking a motivated and high-quality Assistant Scientific Investigator to join our team to work on computational systems biology and human diseases modeling. The expectation is that this candidate will focus on real-world disease modeling and have a strong background in mathematics and statistics. The candidate will be responsible for processing and analyzing multi-scale omics data and applying cutting-edge machine learning and network modeling methods to reconstruct diseased models and generate in-silico hypothesis on drug targets.
The successful candidate will be supervised by Dr. Rui Chang and will develop cutting-edge computational systems biology approaches and apply advanced methods to integrate Big Data in real human disease and have exciting opportunity to interact with real biology wet-labs. The post is based at the University of Arizona, Tucson campus, within the Center for Innovation in Brain Science.
1)PhD degree in mathematics, statistics, computer science or physics.
2)Solid knowledge in statistics and machine learning. Strong working experience in Bayesian inference, and graphical models is highly preferred.
3)Strong, demonstrated programming skills in C/C++, Java, and R. Programming skills in additional languages is a plus.
Duties & Responsibilities:
-Computational systems biology.
-Novel computational methods developments for integrating biological omics data.
Please send cover letter and CV to Dr. Rui Chang