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.