Senior Scientist, Multimodal Biological Reasoning

Role: Senior Scientist focused on developing multi-modal biological reasoning AI systems to unify human expertise, machine intelligence, and biological signals. Responsibilities include designing architecture, training, validating large-scale models, curating biological datasets, translating biological questions into ML problems, and contributing to research strategy and product roadmaps. Requirements: PhD in Computer Science, ML, Computational Biology, or related; strong ML and software engineering skills; experience with large biological datasets; ability to collaborate cross-functionally and communicate externally. Preferred: experience with foundation models (e.g., LLMs, VLMs), multi-modal ML, causal reasoning, and deployment in scientific workflows; knowledge in molecular biology, genetics, biochemistry, or related fields; contributions to impactful publications or open-source projects; familiarity with distributed training infrastructure. High-Value: AI for Biology, multi-modal and foundation models, causal reasoning, enterprise AI deployment, cross-disciplinary collaboration. WorkSetup: Not specified.