About this Role Parasma is looking for a founding scientist to own the following: • Scientific roadmap for training biological substrates • Design, execute, and analyze closed-loop training experiments • Develop learning protocols for biological neural systems • Define reward structures, stimulation policies, feedback loops, and evaluation metrics • Build theoretical frameworks and benchmarks around learning, control, and information transfer in biological substrates • Identify and solve core bottlenecks in biological training, including noise, variability, non-stationarity, and limited observability • Work with engineering to build the software, hardware, and ML infrastructure required for real-time training Preferred Experience • Well published in information theory or related fields • Deep understanding of learning systems, optimization, exploration, credit assignment, and adaptive control • Experience designing experiments for complex biological, neural, or adaptive systems • Understanding of the challenges involved in training biological substrates • Currently or previously a professor, PI, or senior research scientist at a top institution • Proven ability to lead an independent research agenda