Skip to main content
Tallo logoTallo logo

Find Jobs

Find Jobs Near You – Available Work in Your Location

Skip to job details

Back to Results

Apply for this opportunity

To apply for this job, you'll continue to an external website or email application.

Max Planck Florida Institute

Neural Data Scientist

Review key factors to help you decide if the role fits your goals.
Pay Growth
?
out of 5
Not enough data
Not enough info to score pay or growth
Job Security
?
out of 5
Not enough data
Calculating job security score...
Total Score
98
out of 100
Average of individual scores

Were these scores useful?

Job Description

Job Description Help for Job Description. Opens a new window. 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.
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. The selected candidate must be confident navigating a research-oriented, fast-paced scientific culture, comfortable moving fluidly between theory and the 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. 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.

Benefits

  • Dental Insurance