Search the 7 jobs at VantAI

As an AI Scientist, you will lead the design and training of advanced Deep Learning systems, develop innovative architectures for scientific challenges, and collaborate with experts in various fields to enhance feature-engineering strategies and contribute to key ML conferences.

The Senior Project Manager will oversee collaboration projects with biopharmaceutical partners and manage internal R&D pipelines. Responsibilities include leading cross-functional teams, managing project schedules, aligning with external partners, and ensuring compliance while maintaining business operations in the technology and life sciences domains.

The Head of Platform will drive the scientific strategy for proteomics research aligned with AI-driven drug discovery, lead a team of PhD researchers, oversee lab operations, manage budget, and ensure that lab and computational teams work synergistically.

The Chief of Staff will design and implement the roadmap for a new experimental hub, manage daily operations with the internal team, and cultivate relationships with external collaborators and stakeholders.

The ML Infrastructure Engineer will develop large-scale scientific workflows, support scientists, identify automation areas, and improve processes in cheminformatics and ML infrastructure. Responsibilities include creating scalable ML inference infrastructure and developing software tools for data workflows, contributing to product features, and fostering company culture.

Support the Target Prioritization Team by developing prioritization frameworks, integrating scientific and market data, analyzing protein-protein interactions, and creating computational tools to aid in drug discovery processes while collaborating with diverse team members.

As a Full Stack Software Engineer at VantAI, you will develop scientific workflows, support existing processes, and automate inefficiencies using various programming languages and frameworks. You will engage in projects like cheminformatics tools, virtual screening, and ML infrastructure, contributing to AI-enabled drug discovery efforts.