Hiring: Computational Neuroscientist Company: The Biological Computing Co. (TBC) Location: San Francisco Bay Area Job Posted Time: 2026-09-15 18:03:52 Target Skills & Keywords : HBase, Machine Learning, Make, Move About the job Required Skills: •TBC is seeking a Computational Neuroscientist to help derive novel algorithms and model improvements for AI from understanding the dynamics of real neurons. •You will work across computational neuroscience, biology and machine learning to design experiments, analyze large-scale neural recordings and build models that connect living neural systems with modern foundation models. Your work will sit at the center of TBC’s Algorithm Discovery Platform: identifying where AI models fail, studying how biological neural networks approach related problems and translating what we learn into usable software. •This is a hands-on, high-ownership role for someone who wants to help define a new field. You will work closely with wet-lab biologists, AI researchers and engineers to move from experiment to mathematical principle to model performance. •Design biological computing experiments •Design experiments that encode temporal, spatial and multimodal information into living neural cultures. •Develop stimulation and information-encoding paradigms for high-density multi-electrode array systems. •Define experimental controls, baselines and validation criteria that distinguish useful biological effects from noise or generic dynamical behavior. •Partner with the biology team to improve culture readiness, experimental consistency and reproducibility. •Analyze neural population dynamics •Analyze large-scale electrophysiological recordings from high-density MEAs and related neural-interface platforms. •Model neural population dynamics, latent spaces, neural manifolds, temporal structure, effective connectivity and state transitions. •Develop methods for decoding neural responses and identifying computationally useful spatial and temporal patterns. •Characterize how neural networks respond, adapt, learn and retain information across different stimulation conditions and time scales. •Translate biology into AI systems •Work with AI researchers to convert neural dynamics into mathematical principles, architectures, adapters, optimizers and learning rules. Compensation: •$170,000 •$220,000 Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!