美国阿尔伯特·爱因斯坦医学院系统与计算生物学博士后职位

美国阿尔伯特·爱因斯坦医学院系统与计算生物学博士后职位

Postdoctoral Position in Systems & Computational Biology

The Chang Lab has an open postdoc position for interdisciplinary research integrating computation and bench experiments. Our research pursues biological mechanisms of toxicity and resistance to oxidative stress spanning multiple scales of complexity from molecules to whole cells, with special emphasis on the proteome. We focus on disease and treatment-oriented applications and also on model and commensal bacteria. Approaches include: 1) protein-structure-resolved, genome-scale metabolic network modeling and multi-omics measurements of stress phenotypes, 2) machine learning of modifications to protein structure caused by stress exposure, and 3) engineering proteins to alter how they are impacted by stress. This research has broad translational implications for medicine and general biotechnology.

The ideal candidate has a PhD in computational biology, data science, bioinformatics, systems biology, or related subjects, has extensive analytical and coding experience, and working knowledge of protein structure. Although this is primarily a computational position, at least some wet lab experience in basic molecular biology, biochemistry, proteomics, microbiology, or mammalian cell culture is a plus.

For more information, please visit: https://einsteinmed.edu/labs/roger-chang

To apply, please send your CV, cover letter describing previous research, and 3 letters of reference to Dr. Roger Chang at roger.chang@einsteinmed.edu. Please include in the Subject Line: Application for Postdoctoral Opportunity – Systems & Computational Biology.