Neural Data Scientist

Max Planck Institute of Colloids and Interfaces; Florida; In loco; USD 120.000 - 150.000; Tempo pieno

Descrizione del lavoro

Max Planck Florida Institute for Neuroscience (MPFI) seeks a Neural Data Scientist to advance a Neuro-AI initiative, embedding computational neuroscience within a world-class experimental community. You will apply AI/ML to develop scalable analytical tools and predictive models that accelerate discovery and open science across labs.

The role emphasizes translating hypotheses into testable analyses, building accessible pipelines, and mentoring researchers while leveraging HPC/cloud resources for

Competenze

• PhD in Machine Learning, Computer Science, Biomedical Engineering, Computational Neuroscience, Biophysics, or related field.
• Demonstrated expertise in AI/ML (especially deep learning) applied to biological or neural data.
• Track record of collaboration with experimentalists influencing design or hypotheses.

Mansioni

• Translate open biological questions into precise hypotheses about neural dynamics and behavior.
• Develop AI-driven analysis and predictive modeling for neural data across modalities.
• Create GUI-based analysis pipelines enabling collaboration between experimentalists and modelers.
• Oversee HPC/cloud resources for large-scale modeling and reproducible workflows.
• Mentor experimentalists and foster theory-experiment collaboration.

Conoscenze

AI/ML expertise

Python programming

Collaboration

Formazione

PhD in ML/CS/biomedical field

Strumenti

PyTorch

TensorFlow

JAX

Descrizione del lavoro

The Max Planck Florida Institute for Neuroscience (MPFI) is seeking a Neural Data Scientist to support a funded Neuro-AI Initiative expanding the Institute's capacity for scientific computing, predictive modeling, and data analytics. This position provides a rare opportunity to work as an embedded computational neuroscientist within a world-class experimental community. The selected candidate will make a major contribution to the Institutes groundbreaking discoveries and rapid advancement of neuroscience, applying their scientific expertise in AI and machine learning to the development of novel analytical tools that increase the pace of science, foster innovation and collaboration, and embed data science training throughout the scientific community.

Essential Duties And Responsibilities

The selected candidate will work closely with MPFIs scientific leadership team to develop AI-driven analysis and predictive modelling that deliver new insights into neural dynamics, brain states, and ultimately the cause of - and solution to - disorders of the brain. The long-term vision is to develop sustainable and validated, modular scientific computing platforms that can be shared with external collaborators and the broader neuroscience community through open science.

In This Role, The Selected Candidate Will

• Partner directly with MPFI's experimental research groups to translate open biological questions into precise, testable hypotheses about neural dynamics, computation, and behavior
• Guide experimental design with theory.
• Develop deep learning and dynamical modeling frameworks for large-scale, multi-modal neural data including *in vivo* functional imaging, high-density electrophysiology, behavior, and optical or biosensor-derived signals.
• Build shared computational tools and platforms including accessible, GUI-based analysis pipelines that let experimentalists engage directly with modeling results and refine hypotheses collaboratively.
• Oversee the scientific utilization of central and/or cloud-based high-performance computing resources for computationally intensive modeling, large scale data analysis, model training, and reproducible scientific workflows supporting Neuro-AI projects.
• Cultivate a Neuro-AI culture at MPFI: mentoring experimentalists in best practices and fostering a shared language between theory and experiment across labs.

The selected candidate must be confident navigating a research-oriented, fast-paced scientific culture, comfortable moving fluidly between theory and t e bench, and driven by genuine curiosity about the biology. Strong communication skills including the ability to translate modeling insights for experimentalists and vice versa are essential, along with sound judgment, discretion, and professional integrity.

Qualifications

Required:

• PhD in Machine Learning, Computer Science, Biomedical Engineering, Computational Neuroscience, Biophysics, or a related quantitative/biological field.
• Demonstrated expertise in AI/ML (especially deep learning) applied to biological, neural, or biosensor data sets.
• Track record of close collaboration with experimentalists ideally including work that directly informed experimental design or hypothesis refinement, not just post-hoc analysis.
• Proficiency in Python and common ML frameworks (e.g., PyTorch, TensorFlow, JAX).
• A record of scientific publications and collaborative, cross-disciplinary research.

Preferred

• 2+ years of postdoctoral or equivalent research experience.
• Background in systems neuroscience, neural recording techniques including electrophysiology and functional imaging (e.g. multiphoton and single-photon calcium and/or neurotransmitter imaging), or biosensor technologies.
• Experience building robust and validated scientific software tools, analysis platforms, or data pipelines used by 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.

About MPFI

Part of the prestigious Max Planck Society based in Germany, MPFI is its first and only Max Planck institute in North America. Located on the John D. MacArthur Campus in Jupiter, Florida, MPFI offers a vibrant, collaborative, curiosity-driven research environment dedicated to advancing fundamental knowledge of the nervous system. MPFI is committed to open science, community-driven innovation, and building breakthrough tools that transform brain research and human health.

EOE/M/F/V/D.