Are you passionate about revolutionizing drug discovery and development? Do you have a strong background in computational chemistry and a desire to lead cutting-edge projects? Join a rapidly expanding company, and be part of our interdisciplinary team working at the forefront of chemistry, robotics, and software engineering.
Role Overview:
As a Senior/Staff Computational Drug Discovery Scientist, you will play a pivotal role in designing and optimizing novel molecules and drug candidates for our valued partners. Your expertise in drug discovery processes and computational techniques will drive the development of algorithms and tools to exceed partner requirements and deliver groundbreaking solutions in record time.
Responsibilities:
Developing new and improved computational tools to advance the platforms capabilities.
Contributing to virtual screening and multi-parameter hit to lead optimization for small molecules.
Be an active member of drug discovery teams and a key intellectual contributor most projects.
Devise and implement testable hypotheses to formulate medicinal chemistry design strategies and develop virtual screening structure-based/ligand-based/pharmacophore-based/ai driven approaches
Conducting research in machine learning and molecular modeling relevant to drug discovery and molecular synthesis.
Integrate experimental data and apply computational approaches to generate knowledge and insights at the molecular level
Conduct scientific research in specific cheminformatics and molecular modeling areas applicable to drug discovery
Contribute to the overall CADD strategy and play an active part in its implementation
Develop ad-hoc solutions to automatize drug design
Working closely with world-class chemists and other stakeholders to maximize the overall effectiveness of drug discovery campaigns.
Requirements:
Ph.D. in computational chemistry, chemistry, biophysics, biochemistry, computer science, related fields, or equivalent professional experience
Demonstrated track record in building tools for drug discovery
Proficiency in Python for scientific computing, syntax/semantics, data types and structures, Object-oriented programming concepts, functions and modules, testing and coverage, backend development
Experience in leading running drug discovery campaigns
Solid knowledge of machine learning best practices
Minimum 3+ years of experience using major deep learning framework
Strong analytical thinking skills and the capacity to approach challenges methodically.
Familiarity with cloud platforms like AWS
Desired Skills & Attributes:
Experience in portfolio projects R&D to IND
Strong foundation in computational chemistry
Over 5 years of hands-on experience in Computer-Aided Drug Design (CADD) and a track record of successful portfolio projects.
Ability to work collaboratively in a multidisciplinary team environment
Strong interpersonal skills to effectively interact with team members, stakeholders, and external partners.