Dynamical Modeling Data Jobs

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2d ago

Neural Data Scientist

Max Planck Florida Jupiter, FL

Jupiter, FL

2d ago

Full time Artificial Intelligence Data Analysis Data Pipeline

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Job Description

Max Planck Florida Institute for Neuroscience is seeking a Neural Data Scientist to support a funded Neuro-AI initiative focused on AI-driven analysis and predictive modeling.

Responsibilities

Collaborate with MPFI experimental research groups to convert open 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 large-scale, multi-modal neural datasets, including:
- In vivo functional imaging
- High-density electrophysiology
- Behavior measurements
- Optical or biosensor-derived signals
Build shared computational tools and platforms, including accessible, GUI-based analysis pipelines, enabling experimentalists to engage with modeling results and refine hypotheses together
Oversee scientific use of central and/or cloud-based HPC resources for computationally intensive modeling, large-scale data analysis, model training, and reproducible scientific workflows for Neuro-AI projects

Requirements

PhD in Machine Learning, Computer Science, Biomedical Engineering, Computational Neuroscience, Biophysics, or a related quantitative/biological field
Proven expertise in AI/ML, especially deep learning, applied to biological, neural, or biosensor datasets
Documented experience collaborating closely with experimentalists, ideally contributing to experimental design or hypothesis refinement (not limited to post-hoc analysis)
Proficiency in Python and common ML frameworks, including PyTorch, TensorFlow, and JAX
Strong record of scientific publications and collaborative, cross-disciplinary research

Technologies

Python
PyTorch
TensorFlow
JAX

Preferred

2+ years of postdoctoral or equivalent research experience
Background in systems neuroscience, neural recording techniques (electrophysiology and functional imaging such as multiphoton and single-photon calcium and/or neurotransmitter imaging), or biosensor technologies
Experience developing robust, validated scientific software tools, analysis platforms, or data pipelines for multidisciplinary research teams
Experience deploying reproducible analysis of workflows, machine learning models, or scientific software on HPC clusters and/or cloud-based computing environments
Familiarity with dynamical systems, control theory, or generative/probabilistic modeling approaches to behavior and neural data

Location: Jupiter, FL (onsite)

Education: PhD

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