Familiarity with quantum computing libraries such as Q#, PyQuil, Cirq, Qiskit, etc is preferred
The Genuity Artificial Intelligence Research Institute (GAIRI) is seeking a highly motivated Computational Chemist to help pioneer the use of generative and supervised AI/ML in the biomedical sciences. The candidate will assist in the development of statistical-learning approaches to discover new molecules and chemical reactions for use in precision medicine and drug discovery, as well as to address disease etiology.
Given the multi-disciplinary nature of the position, strong collaboration and communication skills are expected.
- M.Sc. in Chemistry, Computational Statistics, Computer Science, Computational Chemistry, Biostatistics, Cheminformatics, or related field with a minimum of 4-years of related industry and/or academic experience
- Experience in machine learning, deep learning, statistical methodology, predictive modeling and algorithm development to analyze large sets of chemical data.
- Familiarity with cheminformatic and bioinformatic tools and libraries such as RDKit and PubChem.
- Expertise in structure-based and/or ligand-based drug design (e.g., molecular docking, molecular dynamics, virtual screening, homology modeling, pharmacophore elucidation and QSAR).
- Familiarity with different types of 2D/3D molecular descriptors (e.g, fingerprints, SMILES, molecular graphs, etc.).
- Strong communication and presentation skills with the ability to translate and communicate results to individuals of diverse backgrounds
- Ph.D. and postdoctoral training in in Chemistry, Computational Statistics, Computer Science, Computational Chemistry, Cheminformatics, or another related field
- Working knowledge of biology (oncology, immunology, autoimmunity, etc.) and experience in drug target identification
- Advanced programming skills with fluency in at least Python and/or R, with extensive experience using modern machine learning and deep learning libraries (eg., TensorFlow, sklearn, caret, etc.)
- Ability to work on high-performance computing system and manage cloud computing environments (e.g. AWS) with experience working with GPUs
- Experience with quantum computing algorithms
- Familiarity with quantum computing libraries such as Q#, PyQuil, Cirq, Qiskit, etc
- Up-to-date knowledge of the fast-moving AI/ML literature
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