Research Scientist, Neural Code Specialist

6 days ago


Wilmington, North Carolina, United States InsideHigherEd Full time
Research Scientist, Neural Code

We are seeking a highly skilled Research Scientist to join our team in the Dartmouth Presidential Cluster on Breaking the Neural Code. The successful candidate will contribute to the development of next-generation models and tools for human neuroscience by analyzing large-scale datasets and integrating novel scientific studies of brain imaging, electrophysiology, and neuromodulation.

Key Responsibilities:
  • Lead advanced data analyses in collaboration with Cluster-associated researchers, utilizing machine learning and deep learning techniques.
  • Conduct research and publish scientific papers on topics related to neuroimaging data processing and analysis.
  • Develop and maintain documentation on Research Computing use, pipelines, pathways, and best practices.
  • Facilitate the availability of specialized software and analysis tools on RC systems.
  • Assist collaborating researchers with integration of new processing and analysis techniques into data processing and analysis pipelines.
Qualifications:
  • Ph.D. in a relevant technical field, such as computer science, engineering, physics, mathematics, or neuroscience.
  • Proficiency in programming languages relevant to neuroimaging, including bash, python, R, and Matlab.
  • Experience with machine learning and/or deep learning tools, such as scikit-learn, tensorflow, and pytorch.
  • Proficiency in developing and deploying containerized applications, such as Docker and Singularity.
  • Experience with human neuroimaging data analysis using relevant software and standards.
Preferred Qualifications:
  • 4 years of relevant development/laboratory/programming experience.
  • A portfolio of analytic/software projects related to neuroimaging and data science.
  • First-author publications in data science and neuroimaging.

Please submit your application, including a cover letter and CV/resume, electronically via Interfolio. Review of applications will begin January 15, 2024, and continue until the position is filled.



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