|CCL 22.03.30 PhD in Computational Chemistry, Drug Design Position, PharmCADD|
From: jobs at ccl.net (do not send your application there!!!)
To: jobs at ccl.net
Date: Thu Mar 31 03:04:35 2022
Subject: 22.03.30 PhD in Computational Chemistry, Drug Design Position, PharmCADD
Job Summary We are seeking an exceptional Computational Chemist with deep knowledge in in silico tools for drug discovery who is creative and loves first principles-based challenges. He/she will be responsible for the development and implementation of computational / AI models to increase the capabilities of our proprietary drug development platform, which has the potential to disrupt the existing drug discovery and clinical trial process. Responsibilities - Enhance our understanding of SAR and material properties and influence team strategy by assimilating and interpreting data using modeling and data-mining technologies. - Apply and develop new approaches for biasing molecular designs using machine learning, scoring functions, and multiple-endpoint optimization methods. - Apply a wide variety of drug design and computational chemistry methods to improve potency, selectivity, and ADME properties while minimizing toxicological risk. - Maintain and develop working knowledge of contemporary computational chemistry and cheminformatics methods and their use in ligand design and data analysis. - Enable solutions (databases, toolkits and methods) for internal use and implement cutting-edge published scientific methods as Generative Adversarial Network (GAN), Reinforcement Learning, and Variant AutoEncoder et al. Qualifications - PhD in Computational Chemistry or equivalent experience. - Proven track-record to work with and develop modern and classical cheminformatics methods. - In depth experience with open-source cheminformatics toolkits such as RDKit & CDK, and familiarity with tools such as Pipeline Pilot or KNIME is a plus. - Programming experience (preferred Python) and high-performance computing environments. - Experience with machine learning (supervised and unsupervised), active learning, statistical design of experiments, multi-objective modeling and QSAR techniques. - Knowledge and experience in ADME modelling is a plus. - Hands on experience with web services, database integration and the integration of open-source code to produce solutions in a global enterprise environment ranging from fast prototyping to production quality level. - Ability to collaborate with multidisciplinary team. - A passion for tackling challenging problems and developing creative solutions Salary and benefit - PharmCADD offers an industry leading competitive compensation package. - Salary will be commensurate with track record and job experience level. - Benefit package includes paid holidays, health insurance, stock option, company supported retirement plan, and housing support.
Application Procedure - Send your application to hr:pharmcadd.com with a cover letter including your motivation and qualification for the applied position - Attach a recent CV with a full list of publications and patents - Send separate application packages for each position that you are applying for. - Website : https://pharmcadd.com/ - Application due date: 30st Sep 2022NOTE THAT E-MAIL ADDRESSES HAVE BEEN MODIFIED!!!
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