Postdoctoral position is available at Wake Forest Institute for Regenerative Medicine (Winston-Salem, NC) for industry-sponsored cheminformatics project.
Desired experience: Cheminformatics analysis of small molecules (SAR/QSAR, data mining, ligand-based similarity assessment) structure-activity relationships. Bioinformatics analysis of biochemical and molecular biological data (screening data, in vivo/in vitro assays, pathways, gene expression profiles, etc). Chemogenomic analysis and prediction of protein-ligand interactions (protein structure analysis, ligand binding site comparison, molecular docking simulations, molecular interaction analysis, homology modeling). The ideal candidate has significant experience in computer programming using different programming languages in order to develop new cheminformatics and bioinformatics approaches and corresponding analysis tools. Strong publication record.
Desired skills: Practical knowledge of machine learning. Excellent programming (Python/R) skills. Excellent verbal and written communication skills.
The following will be considered an advantage: Experience in the construction of bioinformatics and cheminformatics/chemogenomics databases is a strong advantage. Familiarity with Web service technologies, RESTful APIs. Experience with any data integration technologies / “Big Data” solutions. Exposure to natural language processing, especially text mining.