At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana.
Our 35,000 employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism.
We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.
The Computational Chemistry and Cheminformatics group at Lilly is seeking a candidate to fill an open postdoctoral position.
This position involves an opportunity to apply a combination of graph neural networks, quantum chemistry and empirical models for protein structure determination by NMR in drug discovery.
The project will be carried out in collaboration with Lilly's biophysics department, including experts in protein NMR and Hydrogen Deuterium Exchange (HDX) mass spectrometry.
Develop novel methodologies to reduced timelines required for protein NMR application in drug discovery projects, including chemical shift prediction and peak assignment using ML / AI techniques.
Perform method validation in model systems relevant for drug discovery projects
Prepare research manuscripts and scientific presentations for congresses and company meetings.
Ph.D. in one of the following research areas : Computational Chemistry, Bioinformatics, Computational Biology, Computer Science, Software Engineering, or related field
Excellent communication skills and ability to work in a multi-disciplinary team.
Profound understanding of machine learning techniques or prior experience with applying such methods to drug design, chemical property prediction or structural bioinformatics
Fluency in programming languages, particularly Python, and deep learning frameworks (e.g. PyTorch, Tensorflow or Deep Graph Library)
Advanced GNU Bash / C shell scripting. HPC / GPUs experience (specially with Univa Grid Engine / SGE) will be a plus.
Experience in QM calculations and / or NMR or other biophysical techniques will be also a plus.