The Moghe Lab (https://www.moghelab.org) in the School of Integrative Plant Science at Cornell University is seeking to fill an open postdoctoral position in computational biology/machine learning. There are two NSF-funded projects that the postdoc will work on: 1) predicting functions of plant enzymes using AI/ML, phylogenomics and network analysis, and 2) deriving better biological insights from LC-MS data. Expertise in either area is ok, but the postdoc must be willing to learn and work on both aspects. The postdoc must have a strong background in Python, a strong foundational understanding of molecular biology & biochemistry concepts, and a general enthusiasm about scientific discussions and exploration. These projects involve interactions with global databases including UniProt, Gene Ontology and multiple plant-related databases/teams, providing the recruit with a global exposure and impact. For more information, please check this job posting: https://academicjobsonline.org/ajo/jobs/29626 or contact Dr. Gaurav Moghe.

PhD in Computational Biology, Biochemistry, Genetics, Plant Biology or other related field.

Required skills:

• Excellent foundational understanding of molecular biology and biochemistry
• Ability to work independently in Unix-based HPC systems
• Expertise in coding in Python
• Expertise in computational genomic and/or metabolomic analyses
• 1+ years’ experience with implementing or developing machine learning algorithms
• Excellent written and verbal communication skills
• Evidence of performing high-quality research individually and as part of a team 

Preferred skills:

• Experience in R
• Experience with Python Django, R Shiny and Docker
• Experience with development and deployment of web tools