Atomwise
Senior Machine Learning Scientist, Cheminformatics
Atomwise, San Francisco, California, United States, 94199
[Full Time] Senior Machine Learning Scientist, Cheminformatics at Atomwise (United States)Senior Machine Learning Scientist, Cheminformatics
Atomwise United StatesDate Posted: 02 Aug, 2023Work Location: San Francisco, United StatesSalary Offered: $205000 — $235000 yearlyJob Type: Full TimeExperience Required: 3+ yearsRemote Work: YesVacancies: 1 availableAbout AtomwiseAtomwise is a technology-enabled pharmaceutical company leveraging the power of AI to revolutionize small molecule drug discovery. The Atomwise team invented the use of deep learning for structure-based drug design; this technology underpins Atomwise’s best-in-class AI discovery engine, which is differentiated by its ability to find and optimize novel chemical matter.About the roleWe are seeking a highly skilled Machine Learning Scientist with expertise in structure-based drug discovery and cheminformatics. The successful candidate will have a deep understanding of modern machine learning and deep learning techniques and be able to apply them to large, complex data sets to extract meaningful insights.Responsibilities:Implement and apply machine learning algorithms that drive our internal pipeline in early discovery and for partner projects.Analyze and interpret large and complex data sets using machine learning techniques to extract insights and improve our internal decision-making processes.Keep up to date with the latest developments in machine learning, cheminformatics and related fields such as bioinformatics.Present research findings at conferences and communicate results and insights to stakeholders in a clear and concise manner.Requirements:PhD in Computer Science, Statistics, Mathematics, Cheminformatics, Bioinformatics, or a related fieldStrong background in machine learning and statistical modeling techniquesProficiency in Python and experience with machine learning libraries such as Scikit-Learn, TensorFlow, and PyTorchFamiliarity with deep learning techniques, e.g. Graph Neural Networks (GNNs) or transformers.Experience handling large-scale and complex real-world data.3+ years of experience of developing or applying predictive models in a corporate environment.Hands-on experience with structure-based drug discoveryExcellent communication and collaboration skillsStrong problem-solving skills and attention to detailPreferred qualifications:Domain expertise and hands-on experience developing and applying deep learning models to address open challenges in drug discovery.Familiarity with cloud computing platforms such as AWS or GCP.A strong track record of publications in top-tier academic journals and conferences.If you're excited about making a significant impact on the future of drug discovery, we encourage you to apply today!Compensation & benefitsCompetitive salary, commensurate with experienceStock compensation planPlatinum health, dental, and vision benefits for you and your dependents401(k) retirement plan with generous company match (up to 4%)Flexible paid time off (PTO), 13 paid holidays, and wellness breaksHealth Savings and Flexible Spending Account optionsEmployee Assistance Program (EAP) and Pet InsuranceFunding for professional development and conference attendanceFlexible work scheduleGenerous paid parental leaveHigh performance cultureGreat colleaguesAtomwise is an equal opportunity employer and strives to foster an inclusive workplace. Our mission is to develop better medicines faster, and we know that we need a diverse team to develop medicines that serve diverse populations.*Pay range for this role is between $205,000 - $235,000*
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Atomwise United StatesDate Posted: 02 Aug, 2023Work Location: San Francisco, United StatesSalary Offered: $205000 — $235000 yearlyJob Type: Full TimeExperience Required: 3+ yearsRemote Work: YesVacancies: 1 availableAbout AtomwiseAtomwise is a technology-enabled pharmaceutical company leveraging the power of AI to revolutionize small molecule drug discovery. The Atomwise team invented the use of deep learning for structure-based drug design; this technology underpins Atomwise’s best-in-class AI discovery engine, which is differentiated by its ability to find and optimize novel chemical matter.About the roleWe are seeking a highly skilled Machine Learning Scientist with expertise in structure-based drug discovery and cheminformatics. The successful candidate will have a deep understanding of modern machine learning and deep learning techniques and be able to apply them to large, complex data sets to extract meaningful insights.Responsibilities:Implement and apply machine learning algorithms that drive our internal pipeline in early discovery and for partner projects.Analyze and interpret large and complex data sets using machine learning techniques to extract insights and improve our internal decision-making processes.Keep up to date with the latest developments in machine learning, cheminformatics and related fields such as bioinformatics.Present research findings at conferences and communicate results and insights to stakeholders in a clear and concise manner.Requirements:PhD in Computer Science, Statistics, Mathematics, Cheminformatics, Bioinformatics, or a related fieldStrong background in machine learning and statistical modeling techniquesProficiency in Python and experience with machine learning libraries such as Scikit-Learn, TensorFlow, and PyTorchFamiliarity with deep learning techniques, e.g. Graph Neural Networks (GNNs) or transformers.Experience handling large-scale and complex real-world data.3+ years of experience of developing or applying predictive models in a corporate environment.Hands-on experience with structure-based drug discoveryExcellent communication and collaboration skillsStrong problem-solving skills and attention to detailPreferred qualifications:Domain expertise and hands-on experience developing and applying deep learning models to address open challenges in drug discovery.Familiarity with cloud computing platforms such as AWS or GCP.A strong track record of publications in top-tier academic journals and conferences.If you're excited about making a significant impact on the future of drug discovery, we encourage you to apply today!Compensation & benefitsCompetitive salary, commensurate with experienceStock compensation planPlatinum health, dental, and vision benefits for you and your dependents401(k) retirement plan with generous company match (up to 4%)Flexible paid time off (PTO), 13 paid holidays, and wellness breaksHealth Savings and Flexible Spending Account optionsEmployee Assistance Program (EAP) and Pet InsuranceFunding for professional development and conference attendanceFlexible work scheduleGenerous paid parental leaveHigh performance cultureGreat colleaguesAtomwise is an equal opportunity employer and strives to foster an inclusive workplace. Our mission is to develop better medicines faster, and we know that we need a diverse team to develop medicines that serve diverse populations.*Pay range for this role is between $205,000 - $235,000*
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