A PhD and a proven track record of using QM to push the accuracy of computational chemistry methods ideally in drug discovery contexts
A strong understanding of non-covalent interactions especially between organic molecules and with metals, many-body effects, and Nuclear quantum effects
A drive to build models that achieve state of the art performance at predicting experimental observables from purely QM foundations with minimal empirical correction
A skilled programmer preferably in Python such that you can quickly implement your research ideas and analyze their performance across our benchmark suite
What the job involves
Empower the development of state of the art molecular FFs, MLPs, and QM methods, to achieve unparalleled accuracy in predicting potency and conformational landscapes of previously undruggable targets
Utilize our cluster of 1,000s of GPUs and 10,000s of CPUs to build expansive QM training and test sets that achieve comprehensive coverage of chemical space
Benchmark and develop QM methods and basis functions to achieve an exceptional balance of accuracy and throughput
Work closely with our ML researchers, computational chemists, and medicinal chemists to validate and quickly deploy improvements to our ML/MD platform for our chemists' daily use on our internal drug programs and collaborations
Genesis Therapeutics is committed to unifying artificial intelligence and biotechnology to discover innovative treatments for patients suffering from severe conditions. At the forefront of small molecule drug discovery, Genesis leverages its proprietary AI platform, GEMS, to optimize and accelerate the drug development process. Through deep learning and molecular simulations, the company aims to tackle both data-poor and undruggable targets, enhancing the pipeline for groundbreaking therapeutics.
Company benefits
The opportunity to work on challenging high impact computational chemistry research that is immediately deployed to accelerate the discovery of new medicines
A world-class tight-knit team of good-hearted people across software machine learning computational chemistry medicinal chemistry, and biology
Competitive salary and equity
Medical dental and vision insurance and a 401(k) program