Neural Data Scientist — AI for Neural Dynamics & Neuro‑AI

Max Planck Florida; Florida; On-site; USD 120,000 - 180,000; Full time

Job summary

Max Planck Florida Institute for Neuroscience seeks a Neural Data Scientist to advance a Neuro-AI initiative focused on AI-driven analysis and predictive modeling. The role collaborates with experimental groups to translate questions into precise hypotheses and to design experiments through theory-driven approaches.

You will develop deep learning and dynamical modeling frameworks for large multi-modal neural datasets, including imaging, electrophysiology, and behavior, and build GUI-based

Qualifications

• PhD in ML, CS, Biomedical Engineering, Computational Neuroscience or related field.
• Proven expertise in AI/ML, especially deep learning, applied to neural or biosensor data.
• Experience collaborating with experimentalists, contributing to experimental design or hypothesis refinement.
• Proficiency in Python and ML frameworks including PyTorch, TensorFlow, and JAX.

Responsibilities

• Translate biological questions into precise, testable hypotheses about neural dynamics, computation, and behavior.
• Support experimental design by applying theory.
• Develop deep learning and dynamical modeling frameworks for multi-modal neural data (imaging, electrophysiology, behavior).
• Build shared computational tools and GUI-based analysis pipelines for researchers.

Skills

AI/ML

Python

PyTorch

TensorFlow

JAX

Deep learning

Education

PhD

Tools

HPC

Cloud computing

Job description

Max Planck Florida Institute for Neuroscience seeks a Neural Data Scientist to advance a Neuro-AI initiative focused on AI-driven analysis and predictive modeling. The role collaborates with experimental groups to translate questions into precise hypotheses and to design experiments through theory-driven approaches.

You will develop deep learning and dynamical modeling frameworks for large multi-modal neural datasets, including imaging, electrophysiology, and behavior, and build GUI-based