Our client is a clinical-stage precision oncology company focused on developing novel targeted therapies to inhibit frontier targets in RAS-addicted cancers. Key Responsibilities Playing a critical role as the leader of Computational Chemistry responsible for: Guide the strategy for expanding the capabilities of structure based drug design within our client’s unique mode of action. Managing, coaching and mentoring scientists across the computational chemistry function in order to develop their skills and build our client’s organizational capabilities. Being a partner in the scientific activities of other outstanding scientists across the company and helping create an environment where we channel scientific curiosity to build and deliver a sustainable portfolio. Advancing our client’s Research Portfolio and helping build our scientific reputation through presentation/publication of project results in scientific meetings and peer-reviewed literature, as guided by our client’s publication policies, to build our scientific reputation. Identifying, establishing and leading partnerships with selected strategic technology partners focused on supporting our client’s projects. Key Requirements A Ph.D. degree in a relevant scientific discipline with over 5+ years’ experience in the pharmaceutical/biotech industry alongside a strong track record of positive impact in programs. Expertise in a broad variety of computational techniques is essential, particularly molecular docking, pharmacophore development, library design and analysis, machine learning methods, and protein-protein/protein-ligand simulation. Highly desirable, experience in identifying hits and leads against challenging targets using state-of-the-art in silico methodology. Recognized as an intellectual leader in the early phases of drug discovery with a track record of patents, publications and project achievements. Demonstrates ability to recognize anomalous and inconsistent results and interpret experimental outcomes Demonstrated ability to plan and achieve research goals as part of an interdisciplinary team. Knowledge of oncology therapeutic area and drug discovery. Excellent written and verbal communication skills to work with interdepartmental teams. Evidence of successful coaching, mentorship and development of both individuals and teams in order to build long-term organizational capability. Preferred Skills: Demonstrated ability to plan and achieve research goals as part of an interdisciplinary team. Knowledge of oncology therapeutic area and drug discovery. #J-18808-Ljbffr Klein Hersh International
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