Hi RDKit community, We are looking for a drug discovery scientist with computational and machine learning expertise [job link <https://careers.google.com/jobs/results/91113763815465670-research-scientist-drug-discovery/>]. At Google, you will have access to massive amounts of data and compute resources to train ML models for multi-parameter optimization. Model performance will be rigorously evaluated through prospective testing of molecules in a wide range of drug discovery assays. You will also have access to the latest ML innovations from the broader Google Research team.
Responsibilities: Lead hit-to-lead and lead optimization projects with hands-on analysis and modeling Develop novel algorithms and models for molecular property predictions Collaborate with industry partners in supporting drug discovery programs Participate in cutting edge research in machine learning Minimum qualifications: PhD degree in Computer Science, Chemistry, Biology, a related field, or equivalent practical experience 2 years of experience supporting pharmaceutical industry medicinal chemistry programs Experience with cheminformatics, including experience with at least one common toolkit such as RDKit or OEChem Software development experience in one or more general purpose programming languages Preferred qualifications: Developed machine learning models for hit-to-lead or lead optimization Come join me and an excellent team of drug hunters, software engineers, and ML scientists to accelerate drug discovery. Please visit the job post <https://careers.google.com/jobs/results/91113763815465670-research-scientist-drug-discovery/> and apply. Best, JW Feng (LinkedIn <https://www.linkedin.com/in/jwfeng/>)
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