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VantAI

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About

VantAI is a company focused on generative AI-enabled drug discovery. Their mission is to make protein interactions programmable, unlocking a new chapter in medicine. They utilize an integrated discovery platform with three complementary technologies (Inducers, Modulators, Blockers) built to unlock the full potential of the proximity modulator modality. The platform leverages large-scale structural data and NVIDIA GPUs on Google Cloud for protein interaction prediction. VantAI collaborates with industry leaders like BMS and J&J. They offer a monthly lecture series on Generative AI in Drug Discovery and have various open positions in AI Science, Computational Biology, Computational Chemistry, Software Engineering, and Project Management.

Platform
Web
Task
drug discovery

Features

high-quality benchmarks for protein-protein and protein-ligand interaction prediction

large-scale structural data

proximity modulator modality

protein interaction prediction

generative ai-enabled drug discovery

Job Opportunities

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VantAI

AI Scientist

VantAI uses generative AI to revolutionize drug discovery by making protein interactions programmable.

scienceonsiteNew York, US
$180,000 - $200,000
full-time

Education Requirements:

  • MS/PhD degree in Computer Science, Statistics, Applied Mathematics, Computational Biology, Computational Chemistry or other related subject

  • Will also consider BS degrees in these areas for candidates highly qualified across other requirements or with significant work experience

Experience Requirements:

  • 2+ years of experience on machine learning teams, ideally at a start-up

  • 4+ years of ML research experience in industry or academia, with strong familiarity with PyTorch

Other Requirements:

  • Track record of contributing to novel methods for state-of-the-art Deep Learning (in industry or through publications) including large-scale Transformers, Graph Neural Nets, ConvNets, etc.

  • Experience with Python is required

  • Relevant experience working in a Linux/UNIX environment with basic data engineering and scripting abilities

  • Ability to understand business problems and how to build models that can quickly drive value, while prioritizing your research efforts accordingly

  • Clearly communicate modeling setup and results at various levels of abstraction

Responsibilities:

  • Scientifically direct the design and training of large-scale, state-of-the-art Deep Learning systems

  • Develop novel architecture and training paradigms to lead the industry in unsolved scientific problems

  • Collaborate with content experts from other domains (e.g., chemistry, physics, biology) to enable innovative feature-engineering and novel cross-disciplinary approaches

  • Actively contribute to top-tier ML conferences and journals and attend core ML conferences to stay connected with the community and current trends

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Head of Platform

VantAI uses generative AI to revolutionize drug discovery by making protein interactions programmable.

Education Requirements:

  • PhD in Chemical Biology, Proteomics, or related field

Experience Requirements:

  • 5+ years in industry experience focused on small molecule drug discovery at pharmaceutical or biotech companies, with a track record in leading small molecule proteomic initiatives

Other Requirements:

  • Proven experience in proteomics research and small molecule drug discovery

  • Track record in designing and executing complex scientific experiments

  • Computational affinity, worked with computational biologists

  • Experience in managing a team of PhD researchers

  • Familiarity with AI applications in proteomics and drug discovery

  • Strong budget management skills

  • Excellent communication skills, adept at summarizing scientific progress for various audiences

Responsibilities:

  • Drive the scientific strategy, aligning our proteomics research with AI-driven drug discovery initiatives

  • Lead and nurture a team of PhD researchers, promoting a culture of innovation and discovery

  • Oversee lab operations and facilities, maintaining an environment that fosters excellence and safety

  • Plan and steer ambitious proteomics experiments, making key decisions to shape our scientific trajectory

  • Prudently invest in state-of-the-art lab hardware to keep us on the cutting edge of proteomics research Bridge the gap between lab teams and computational workstreams, fostering a synergistic environment that maximizes data utility Manage and optimize the lab budget, ensuring resources are strategically allocated Provide regular updates on scientific progress, keeping stakeholders informed and inspired

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Senior Computational Biologist

VantAI uses generative AI to revolutionize drug discovery by making protein interactions programmable.

Education Requirements:

  • MSc or PhD degree in computational biology, bioinformatics or a related field

Experience Requirements:

  • Possess mixed academic and/or industrial experience, preferably in the biotech industry

Other Requirements:

  • Strong background in computational structural or systems biology

  • 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

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

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