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Computational Neuroscientist - R&D at Inscopix
Palo Alto, CA, US

Inscopix, a discovery phase neurotechnology company, is seeking a computational neuroscientist to join our science R&D team to work on the research & development of neuroimaging processing and analysis tools for neuroscientists. In this role, you will develop advanced tools for the analysis of neural data sets, including the extraction of biological signals from imaging data sets, and drive the development of innovative neuroscience algorithms. The ideal candidate will demonstrate deep understanding of statistical and machine learning concepts, particularly as they apply to processing, analyzing, and interpreting in vivo neural and behavioral datasets. A successful candidate will have excellent communication skills, with an ability to craft clear data narratives and share them via illustrative visualizations, Python notebooks, and slide deck presentations.   

Examples of projects include:

  • Develop algorithms or improve existing methodologies for image processing, motion correction, cell identification and trace extraction
  • Process and analyze calcium activity from non-neuronal brain cells (glia)
  • Align and co-register neural imaging datasets collected from different imaging modalities 
  • Process and analyze changes in brain fluorescence from novel genetically-encoded neural sensors


  • Collaborate with neuroscientists and engineers to develop innovative analyses of large scale video & time-series data, including calcium imaging and behavioral data
  • Lead external neuroscience data analysis collaborations in industry and academia
  • Perform and report exploratory analyses on novel and existing algorithms for analysis of high dimensional brain activity and animal behavior datasets

The ideal candidate will have/be:

  • PhD in neuroscience or related field
  • 5+ years of data science experience in the Neuroscience field
  • Experience manipulating, processing and analyzing  in vivo 1-photon calcium imaging data as well as analyzing neural & behavioral data
  • Experience with manipulating, analyzing, and visualizing and data in Python (e.g. NumPy, SciPy, Pandas, Matplotlib, Seaborn)
  • Experience working closely with neuroscientists in study design and data analysis
  • Team oriented - ability to multitask on a variety of projects with diverse needs
  • Detail oriented - ability to develop detailed plans and then execute on those plans
  • Priority minded - ability to stay focused, identifying and executing on only the most important issues
  • Strong publication record 

Desired Experience:

  • Postdoc experience
  • Experience with manipulating, processing and analyzing rodent behavior video data
  • Experience applying machine learning and/or deep learning techniques to answer neuroscience questions (e.g. using scikit-learn, statsmodels, Keras, Tensorflow)
  • Experience with algorithm development and optimization
  • Grant writing experience


  • Palo Alto, CA