VantAI
Overview
VantAI is seeking highly-motivated Computational Biologists to help build the leading AI-enabled drug discovery platform for novel induced proximity therapeutic modalities. The role involves collaborating with Computational Chemistry, Machine Learning and Application Engineering teams to leverage evolutionary, structural and -omics data to advance unified machine learning representations and large-scale geometric deep learning generative models. Key Responsibilities
Develop pilot capabilities and create large-scale data pipelines from the ground up Collaborate with other teams across VantAI and partnering organizations to achieve project goals by contributing code, analyses, benchmarks, optimizations and ideas to ongoing research-driven projects Integrate biological insights into the next generation of AI/ML models for drug discovery Validate and interpret computational predictions by working closely with experimentalists Basic Qualifications
Hold an MSc or PhD degree in computational biology, bioinformatics or a related field Possess mixed academic and/or industrial experience, preferably in the biotech industry Strong background in computational structural or systems biology Demonstrate strong programming skills in Python, R and/or other languages Experience building reproducible and scalable computational biology workflows Experience designing and applying machine learning models Preferred Qualifications
Experience with geometric deep learning, graph neural networks, protein language models, transformers and representation learning Prior exposure to drug discovery problems is a plus Experience working with cloud-based infrastructure Agile project management Location: New York City area preferred. Salary range discussed during interview; the posted NYC salary is $120,000 - $180,000 and higher compensation may be considered for more experienced candidates.
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VantAI is seeking highly-motivated Computational Biologists to help build the leading AI-enabled drug discovery platform for novel induced proximity therapeutic modalities. The role involves collaborating with Computational Chemistry, Machine Learning and Application Engineering teams to leverage evolutionary, structural and -omics data to advance unified machine learning representations and large-scale geometric deep learning generative models. Key Responsibilities
Develop pilot capabilities and create large-scale data pipelines from the ground up Collaborate with other teams across VantAI and partnering organizations to achieve project goals by contributing code, analyses, benchmarks, optimizations and ideas to ongoing research-driven projects Integrate biological insights into the next generation of AI/ML models for drug discovery Validate and interpret computational predictions by working closely with experimentalists Basic Qualifications
Hold an MSc or PhD degree in computational biology, bioinformatics or a related field Possess mixed academic and/or industrial experience, preferably in the biotech industry Strong background in computational structural or systems biology Demonstrate strong programming skills in Python, R and/or other languages Experience building reproducible and scalable computational biology workflows Experience designing and applying machine learning models Preferred Qualifications
Experience with geometric deep learning, graph neural networks, protein language models, transformers and representation learning Prior exposure to drug discovery problems is a plus Experience working with cloud-based infrastructure Agile project management Location: New York City area preferred. Salary range discussed during interview; the posted NYC salary is $120,000 - $180,000 and higher compensation may be considered for more experienced candidates.
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