Aqemia is a deep-tech start-up in drug discovery. We are building on breakthrough physics theory and unique software to find promising drug candidates among millions of molecules.
Aqemia's software predicts the affinity between drug candidates and therapeutic targets responsible for diseases. The speed and accuracy of our software allows to screen up to million molecules in few weeks.
Our ambition is to disrupt upstream drug discovery through a combination of our proprietary physics-based technology and machine learning to generate innovative drugs.
If this sounds exciting to you, come and join us !
Aqemia relies on a unique theory of statistical mechanics developed for 8 years at ENS Ulm and high performance algorithms. You will optimize key kernels of the code to enable screening of 100k+ molecules databases in few weeks.
Your role: Build and automate software pipeline around Aqemia initial code to screen large molecule databases
Your day to day responsibilities:
Identify modules to build pipeline and propose trade-offs on own developments / open source (e.g., molecules docking)
- Develop modules and links between them and databases
Optimize execution of millions of runs in the cloud
You are fluent in Python or another glue language
You are familiar with cloud computing
Chemistry knowledge is a strong plus
C++ or Fortran knowledge is a plus
You should join us if…
You are passionate about solving difficult problems on places that really matter
You are curious, willingful and dynamic
You want to grow and help others grow as well
You are keen to take unpaved roads when it is the best way to have an impact
You do not fit in those job descs but are excited by this adventure? Contact us!