AI Scientist

We are in search of an AI Scientist to join our computational team, where our core work spans three domains: Artificial Intelligence, Bioinformatics and Software Engineering. If you're looking to join a core group of highly motivated, versatile professionals with demonstrated expertise in applications of artificial intelligence for biomedical discovery, please read on. ## Machine Learning - Design, optimize, and validate deep-learning models for high-dimensional biological data including histopathological slides, spatial transcriptomics, and structured clinical datasets. - Translate biological insights into modeling strategies. - Support model interpretability, robustness, and validation in regulated or translational research contexts. ## Agentic AI - Architect and build agentic AI systems that reason over multiple steps, plan autonomously, and orchestrate external tools. - Develop LLM-driven agents that retrieve, prioritize, and synthesize evidence with memory and feedback loops that let them revise hypotheses and adapt as new data emerges. - Engineer production-grade infrastructure that unifies structured and unstructured biomedical data at scale, and rigorously assess the robustness, reliability, and interpretability of autonomous systems operating in high-stakes clinical contexts. ## Software Engineering - Apply software engineering best practices to ensure reproducible and efficient scientific discovery. - Develop tools and services that support experiment tracking, reproducibility and quality control. - Perform software validation and documentation in research or regulated diagnostic contexts. ## How We Work - Broaden Knowledge Base: Harness new biological concepts and technical skills outside your primary expertise rapidly. - Accelerate with Logic: Leverage AI coding agents for implementation and testing. You focus on architectural rigor and system logic. - Think Critically: Act as the ultimate auditor to identify subtle AI-generated hallucinations in code or scientific reasoning before they reach our systems. ## Who You Are - First-author contribution to state of the art AI model publications in competitive journals or conferences. - Proven ability to drive end-to-end development on major projects. - Ph.D. in Machine Learning, Bioinformatics, or a related field. Open to recent Ph.D. graduates, postdocs, and early-career candidates with up to 5 years of post-Ph.D. experience.