Nimbus Therapeutics is a biotechnology company headquartered in Cambridge, Massachusetts (USA). It is pioneering the application of computational chemistry to design breakthroughs for the treatment of substantial and underserved human diseases. The company’s focus on metabolic diseases, cancer and immune-inflammatory disorders reflects the mechanistic relationship between these disorders and Nimbus’ ability to rapidly tackle well validated targets that have proven intractable to the approaches taken by others in the pharmaceutical and biotechnology industry.
Nimbus Therapeutics is recruiting a highly qualified Computational Chemist who will be working within multi-disciplinary teams to apply computational chemistry techniques, cheminformatics and molecular modeling for the purpose of advancing small-molecule drug discovery programs. The qualified candidate will be creative, detail-oriented and a problem solver with a passion for drug discovery and a track record of applying computational chemistry and cheminformatics methods to solve problems at all stages of the drug discovery and development process. Our successful candidate will be a clear communicator and an enthusiastic team player.
Principal Duties and Responsibilities:
Apply computational chemistry techniques to drive project initiation and progression.
Make key intellectual contributions to the direction of our in-house research programs.
Work closely with discovery scientists to inform, influence and prioritize their synthetic chemistry.
Design and optimize drug candidates using advanced computational techniques such as protein modeling, molecular docking based on x-ray or homology models, ligand based design, library design, diversity analysis, conformational analysis and pharmacophore modeling.
Identify and implement new computational chemistry tools, methods and their application in the drug discovery and development process.
Ph.D. in computational chemistry or chemistry, biochemistry, biophysics or a related scientific field with a computational focus plus 10+ years of industry experience.
Demonstrated track record of applying in silico techniques to drive drug discovery projects or impacting hit finding activities in drug discovery.
A comprehensive understanding of data mining and visualization, ligand and structure-based design, conformational analysis, and pharmacophore optimization.
Demonstrated understanding of all aspects of modern drug discovery including medicinal chemistry, DMPK principles and multi-parameter optimization.
Demonstrated experience functioning within strong multi-disciplinary project teams.
Demonstrated experience in complex problem solving through in depth analysis of data.
Extensive experience with scientific software such as Schrödinger, MOE, Pipeline Pilot, Spotfire, Discovery Studio, etc. Programming experience is a plus.
Applications (cover letter & CV) should be sent to: