Postdoctoral Researcher, ML for Biology, Hsu Lab

Role: Postdoctoral researcher focused on developing generative AI models for biological applications, including disease modeling and therapeutic discovery. Responsibilities: design and conduct computational experiments, develop ML architectures, lead independent projects resulting in high-impact publications, and collaborate across Arc, Stanford, and external partners. Core skills include expertise in Python, PyTorch, and deep learning; strong communication; and a track record of innovative research. Qualifications: Ph.D. in Computer Science, Bioinformatics, Computational Biology, or Genetics/Genomics; demonstrated research impact through publications or tools; ability to thrive in fast-paced, collaborative environments. High-Value: frontier AI models for biology, synthetic biology, genomics, single-cell technologies, and therapeutic invention. Work setup: research-focused; no specific location or travel details provided.