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Research Scientist, K. Lisa Yang Integrative Computational Neuroscience (ICoN) Center
  • Job Number: 20383
  • Functional Area: Research - Scientific
  • Department: McGovern Institute for Brain Research
  • School Area: Office of Provost
  • Employment Type: Full-Time
  • Employment Category: Exempt
  • Visa Sponsorship Available: Yes
  • Schedule:


Job Description

RESEARCH SCIENTIST, McGovern Institute for Brain Research-K. Lisa Yang Integrative Computational Neuroscience (ICoN) Center, to pursue a creative, collaborative research program developing new statistical and machine learning tools to analyze unique large, multiscale datasets obtained here using cutting-edge methods in molecular, circuit, and behavioral neuroscience and cognition. Will join world-class neuroscientists, cognitive scientists, and engineers in solving today's most exciting computational research problems and apply statistics, machine learning, AI, and data science skills to shed light on brain function from data; develop and deploy new data analysis tools on multiple cross-disciplinary research projects; coordinate, organize, and work across labs towards a common goal; supervise and manage a research team to develop and execute the algorithms; provide guidance for standardization, storage, sharing, and management of large data sets; and help translate computational algorithms into efficiently functioning (especially parallelized and GPU optimized) code.  The work will be collaborative with Ila Fiete, Robert Yang, Nidhi Seethapathi, Fan Wang, and other McGovern faculty.  

Job Requirements
 REQUIRED: Ph.D.; experience with machine learning, statistics, computational neuroscience, computer science, or relevant quantitative field; and a track record of data-driven discovery, collaboration on data-intensive projects, and code development and sharing.  Must have experience developing analysis tools and techniques for large-scale data sets; implementing and developing large-scale data-processing algorithms; GPU optimization in PyTorch and TensorFlow, including ability to write new GPU-based operations in both frameworks; high performance cluster computing and/or cloud computing at scale; high-speed I/O programming; and building tools for data sharing and code sharing. PREFERRED: background in neuroscience and cognitive science.  Job #20383

11/3/21