Contribute to the continuous evolution and innovation of Galux's drug design platform
Become a key player in transforming drug discovery and development from a trial-and-error process into one driven by prediction and computation.
Responsibilities
Develop and optimize Galux’s AI-driven drug design platform, including:
Predicting protein structures and physicochemical properties (e.g., stability, aggregation, immunogenicity)
Modeling protein-protein complex structures and binding affinities
Optimizing properties through sequence space exploration
Design in silico drug candidates using Galux platform
Required qualifications
Degree in a relevant field such as natural sciences (chemistry, biology, bioinformatics, medicine, pharmacy) or engineering (computer science, electrical engineering, chemical/biological engineering), or equivalent knowledge and experience
Proficiency in Python programming
Hands-on experience leading AI or computational biology projects
Ability to read and analyze research papers on AI-driven protein design
No restrictions on international travel
Preferred qualifications
Experience developing software for drug design and development (e.g., structure prediction, property prediction, QSAR)
Publication or development experience in related fields (physics, chemistry, biology, medicine, pharmacy)
Relevant experience at pharmaceutical companies, startups, IT firms, or research institutions
Ideal candidate
A researcher who genuinely enjoys coding
Someone who approaches research proactively and logically
Capable of generating and implementing creative ideas around their research topics
Eager to build expertise in drug design and development
Passionate about contributing to AI-driven protein design and next-generation therapeutics
