Founding Scientist
Hybrid (San Francisco, CA)$1000kFull-timePosted 3mo ago
About the role
Founding scientist role focused on training biological substrates and developing learning protocols and infrastructure for real-time training in biological neural systems.
Responsibilities
- Own 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
Qualifications
- 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
Skills
Required:Information theory / learning theoryLearning systemsExperimental design in biology / neural systems
Last updated Oct 25, 2026. Interested? Apply on the company site.
About Parasma
Training human brain cells for AI compute
We write the algorithms to turn brain cells into compute.
Machine LearningNeurotechnologyAI