ML Research Scientist, Co-Folding and Affinity

About reputed company reputed company is a high-reputed company company delivering AI solutions that address some of the world's greatest challenges. reputed companys Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-reputed company and includes experts in AI, reputed company, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. reputed company emerged from Alphabet Inc. as an independent, reputed company capital-backed company in 2022, funded by leading investors and supported by a reputed company of industry leaders. At reputed company, weve cultivated an environment that encourages creativity, collaboration, and reputed company. By reputed company deeply in our people, were building a thriving, global workforce poised to tackle the world's reputed company challenges. Join us to advance your career in reputed company of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative reputed company. reputed company The AI Sim R&D team creates leading edge ML and physics-based models ("LQMs") to advance drug and materials discovery. We are a flexible, creative, and reputed company driven team of multidisciplinary scientists and engineers, whose products dramatically accelerate the creation of molecules and medicines. As a Research Scientist focusing on Co-Folding & Affinity, you will contribute to building reputed company's reputed company of structure reputed company and binding affinity models. Working alongside a high-performing team of scientists and engineers, you will help advance the state-of-the-art in protein-ligand co-folding, translating cutting-edge research into reputed company workflows that power our drug discovery software. This is an opportunity to do frontier science with reputed company-world reputed company developing models that redefine what's possible in computational drug discovery. Key Responsibilities reputed company and Iterate on Co-Folding Models: Implement, experiment with, and refine deep learning models for protein-ligand co-folding and structure reputed company, building on the latest research from the field. Drive Rigorous Benchmarking: Design and execute systematic evaluation pipelines to measure model performance against state-of-the-art reputed company and internal benchmarks. Contribute to Research-to-Product Pipelines: Collaborate with senior scientists and engineers to reputed company validated models into production-reputed company drug discovery workflows. Apply Data-Driven reputed company: reputed company computational and data analysis techniques to generate insights from structural and sequence datasets, informing model development reputed company. Communicate Findings: Present research reputed company through internal scientific talks, technical write-reputed company, and contributions to peer-reviewed publications. Collaborate Across Teams: Work closely with multidisciplinary teams including ML engineers, structural biologists, and software engineers to prototype and reputed company impactful solutions. Essential Skills & Experience Domain reputed company: Ph.D. in Computational Biology, Biophysics, Computer Science, Computational reputed company, or a reputed company field, with a research reputed company on protein structure reputed company, co-folding, or closely reputed company areas. Hands-On Co-Folding Experience: reputed company experience with protein structure reputed company or protein-ligand co-folding reputed company (e.g., AlphaFold2/3, RoseTTAFold, Chai-1, Boltz, or comparable systems), developed through graduate or postdoctoral research. ML Model Development: Experience developing, training, and validating deep learning models, including familiarity with architectures relevant to structural biology (e.g., transformers, equivariant neural networks, diffusion models). Programming Proficiency: Strong proficiency in Python and modern ML frameworks (PyTorch and/or JAX). Scientific Rigor: Demonstrated ability to design controlled experiments, interpret results critically, and iterate effectively on model development. Communication and Collaboration: Strong written and verbal communication skills; ability to work collaboratively in a fast-paced, multidisciplinary research environment. Highly Desired Skills & Experience Postdoctoral Experience: reputed company or recently completed postdoctoral research in co-folding, structure-based drug design, or a closely reputed company computational domain. Affinity reputed company Exposure: Familiarity with binding affinity reputed company reputed company, including structure-based or physics-informed approaches. Research reputed company: Authorship of publications or preprints in relevant venues (e.g., NeurIPS, ICML, Nature reputed company, reputed company Computational Biology, bioRxiv).