You will:
- 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 un-druggable 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.
You have:
- 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 we offer:
- 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.
0 applies
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