Save Job Back to Search Job Description Summary Similar Jobs Drive high‑impact programs at the frontier of AI × antibody discovery Work with cutting-edge computational and experimental technologies About Our Client As one of the well‑established fully foreign‑funded pharmaceutical research centers in the country, the organization holds independent decision‑making authority for early drug research and maintains strong connections with China's innovation ecosystem to accelerate discovery, platform advancement, and translational development. The center employs approximately 250 scientists, more than half of whom hold PhD degrees, and has generated over 360 invention patents, with multiple drug candidates successfully advanced into clinical development. Job Description Lead strategy and development of AI/ML platforms for antibody design & optimization Build and refine SOTA deep learning models (Transformers, GNNs, diffusion models, LLMs, multimodal architectures) Develop pipelines for: Protein structure & complex prediction (e.g., AlphaFold3) Affinity prediction & sequence optimization (e.g., AlphaBind, Rosetta) Sequence design (ProteinMPNN / AbMPNN) De novo antibody generation (RFdiffusion, Chai‑1/2) Drive AI ↔ wet‑lab closed-loop workflows, working directly with high‑throughput screening, DMS/NGS, and biophysical assay teams Lead cross‑functional programs with antibody engineers, bioinformaticians, and platform engineers Mentor junior scientists and help establish standardized AI infrastructure (MLOps, HPC, Cloud) The Successful Applicant Ph.D. in ML/CS/Computational Biology/Structural Biology/Bioinformatics/Biophysics/Chemistry 7+ years post‑PhD industry experience in AI-driven biologics or antibody discovery Strong expertise in deep learning (PyTorch/TensorFlow) and modern AI architectures Hands-on experience with: Structure prediction Antigen-antibody interaction models Sequence/structure optimization Diffusion or foundation models for protein/antibody design Proven track record working closely with wet‑lab, high‑throughput, or automated experimental platforms Strong communication skills in English and Mandarin Collaborative, innovation-driven, and comfortable in a fast-paced R&D setting What's on Offer Shape platform capabilities and mentor the next generation of AI scientists Drive innovations that directly influence real-world biologics pipelines Contact Helen He Quote job ref JN-022026-6959490 Phone number +86 10 6168 7548 Job summary Function Life Sciences Specialisation Research & Development What is your area of specialisation? Healthcare / Pharmaceutical Location Shanghai Contract type Permanent Consultant name Helen He Consultant phone +86 10 6168 7548 Job Reference JN-022026-6959490
