
11 - 50 employees
Founded 2019
🧬 Biotechnology
🤖 Artificial Intelligence
💊 Pharmaceuticals
Biotechnology • Artificial Intelligence • Pharmaceuticals
Proxima is a biotechnology company that builds an integrated discovery platform to design and program protein interactions, enabling a new class of proximity-based medicines (inducers, modulators, and blockers). The company combines generative AI, advanced data-generation, and structural modeling technologies to accelerate discovery of therapeutics and collaborates with industry partners to translate induced-proximity modalities into drug candidates.
🕒 April 9
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11 - 50 employees
Founded 2019
🧬 Biotechnology
🤖 Artificial Intelligence
💊 Pharmaceuticals
Biotechnology • Artificial Intelligence • Pharmaceuticals
Proxima is a biotechnology company that builds an integrated discovery platform to design and program protein interactions, enabling a new class of proximity-based medicines (inducers, modulators, and blockers). The company combines generative AI, advanced data-generation, and structural modeling technologies to accelerate discovery of therapeutics and collaborates with industry partners to translate induced-proximity modalities into drug candidates.
• Scientifically direct the design and training of large-scale, state-of-the art deep learning systems • Develop novel architecture and training paradigms • Collaborate with content experts from other domains • Actively contribute to top-tier ML conferences and journals
• MS/PhD degree in Computer Science, Statistics, Applied Mathematics, Computational Biology, Computational Chemistry or related subject • Track record of contributing to novel methods for state-of-the-art deep learning • Expertise in several topics: diffusion models, flow matching, transfusion, discrete diffusion, VAEs, image generation, LLMs, multimodal LLMs, reinforcement learning, SBDD, structure prediction / cofolding • 4+ years of ML research experience in industry or academia • Strong familiarity with PyTorch • Ability to understand business problems and build models accordingly
• Opportunity to work with a world-class ML research team • Chance to push the state of the art in structure prediction and molecular generation
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