Job Description

Director, Computational Chemistry

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.

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