This is a mid sized Biotech in the Boston/Cambridge area and they are looking for a results oriented, strategic thinker to apply computational chemistry, bioinformatics, cheminformatics, and medicinal chemistry design principles to support their drug discovery programs and target identification and validation efforts. Responsibilities: Computational Modeling Techniques such as Structure based and Ligand Based Structural bioinformatics Evaluate the similarities of Targets Class Design of Hopping based compounds Chemical assessment techniques Prediction of physicochemical compounds ADME properties Help in design and selection of compounds Use Cheminformatics techniques HTS analysis, library design, SAR visualization, etc. Develop and apply of novel computational capabilities FEP, protein simulations, and analysis Experience and Skillset needed Must have a passion for discovering new medicines that will help to treat disease. A PhD in a related field. At least 5 years of computational chemistry experience. 5+ years of working in a Biotech or Pharma environment. Must be comfortable with the different aspects of modern computational chemistry. Must be able to demonstrate impact in applying computational chemistry in past roles. Publications and Patents must indicate your ability to drive the design/progression of compounds in a drug discovery team setting. Must have worked as part of a drug discovery team that was in early through to late stage discovery. Must have a strong understanding of medicinal chemistry. Knowledge of DMPK principles, multi-parameter compound design and optimization. Strong interpersonal and communication skills are needed.
