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