The Fountain Group is a national staffing firm currently seeking a Machine Learning Scientist (Computational Chemistry) for a prominent Pharmaceutical client. This position is located in South San Francisco, CA . Details are as follows: Pay: $70.00/hr Assignment Duration: 1 year with potential for extension or conversion Location: Not fully remote; potential for hybrid; candidates willing to relocate at their own expense are encouraged to apply Qualifications: Ph.D. required We are looking for a talented individual to join Prescient Design, a division dedicated to developing structural and machine learning methods for molecular design within the Research and Early Development organization. The successful candidate will manage projects deploying new techniques for machine learning-based molecular optimization for the analysis and design of small and large molecule drugs within target-driven design campaigns. Focus areas include engineering pipelines for probabilistic molecular property prediction and Bayesian acquisition for active learning in drug discovery. Additional activities may include pipelines for molecular generative modeling. Your responsibilities will include developing machine learning and Bayesian optimization workflows to analyze existing and design new molecules. Requirements include demonstrated experience with machine learning libraries in production workflows (e.g., PyTorch, Lightning, Weights and Biases), experience with physical modeling methods (e.g., molecular dynamics), and cheminformatics tools (e.g., rdkit). Prior focus areas may include molecular property prediction, computational chemistry, de novo drug design, medicinal chemistry, small molecule design, self-supervised learning, geometric deep learning, Bayesian optimization, probabilistic modeling, or statistical methods. #J-18808-Ljbffr The Fountain Group
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