About AQEMIA: AQEMIA is a next-gen pharmatech company generating one of the world's fastest-growing drug discovery pipeline.
Role Overview: Manager to lead Molecular Simulations team applying and optimising physics-based computational methods to support hit discovery and lead optimisation.
Key Responsibilities:
Lead and manage a team of scientists specialising in physics-based computational methods.
Define and execute strategic initiatives to integrate physics-based models including our in-house state-of-the-art solvation free energy algorithm into the drug discovery workflow.
Collaborate closely with cross-functional teams, including AI researchers, medicinal chemists, and computational chemists, to align computational strategies with drug discovery objectives.
Drive innovation by identifying and implementing emerging computational approaches to improve hit discovery and lead optimisation.
Ensure the team delivers high-quality scientific results on time, balancing research innovation with practical impact.
Foster a collaborative and high-performing team culture, ensuring continuous growth and development of team members.
Communicate scientific insights and strategic recommendations to senior leadership and key stakeholders.
Requirements
PhD in Statistical Mechanics, Computational Chemistry, Biophysics, or a related field.
5+ years of experience in computational drug discovery, with at least 2 years in a leadership role.
Proven ability to manage and develop a team of scientists in a high-performance environment.
Project management skills with the ability to prioritize tasks and drive results.
Excellent communication skills to engage with interdisciplinary teams and senior stakeholders.
Expertise in physics-based computational methods (e.g., molecular dynamics, free energy calculations, solvation models) and familiarity with leading drug discovery and molecular modeling software (commercial, open-source, and chemoinformatics tools).