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Computational Neuroscientist

About Inscopix

Inscopix is a neurotechnology company developing a platform and full stack for real-time brain mapping. Our vision at Inscopix is to drive new treatments to dramatically improve the health and well-being of people suffering from debilitating brain and nervous system disorders. Inscopix’s flagship products, nVista and nVoke, have been deployed in over 400 research institutions across the world resulting in over 85 top-tier scientific publications and empowering breakthroughs in Alzheimers, Parkinson’s, psychiatric disorders, chronic pain, and addiction. Based in Palo Alto, the Inscopix team brings together deep domain expertise in neuroscience, engineering, and data science. Advised and backed by industry luminaries and investors, Inscopix has been recognized as a World Economic Forum Technology Pioneer, and by Deloitte as one of North America’s fastest growing technology companies.

We are seeking a computational neuroscientist to work on the research & development of neuroimaging processing, analysis, and visualization tools for neuroscientists. In this role, you will lead data analysis projects with external collaborators and customers, and drive development of innovative neuroscience algorithms and methods into our software products. 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:

  • Developing compression & motion-correction algorithms for calcium-activity movies
  • Extracting single neuron activity from noisy movies containing 100s of neurons.
  • Identifying repeated ensembles of neural activity using clustering techniques. 
  • Tracking & classifying mouse behaviors using both supervised & unsupervised approaches. 
  • Building machine learning models that predict behavioral states from neural data.

Responsibilities

  • 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. 
  • Assist with integration of new data processing algorithms into existing software products.

Required Experience

  • PhD in neuroscience or related field
  • Analyzing neural & behavioral data
  • Manipulating, analyzing, and visualizing and data in Python (e.g. NumPy, SciPy, Pandas, Matplotlib, Seaborn)
  • Applying machine learning and/or deep learning techniques to answer neuroscience questions (e.g. using scikit-learn, statsmodels, Keras, Tensorflow).
  • Using tools like git to version control & share code.
  • Scripting in Unix command line environment
  • Ability to multitask on various projects with diverse needs

Desired Experience

  • Manipulating, processing and analyzing  in vivo 1-photon calcium imaging data 
  • Manipulating, processing and analyzing rodent behavior video data
  • Building software packages and products 
  • Building high throughput data analysis pipelines
  • Cloud development
  • Algorithm optimization
  • Experience with hardware-accelerated image processing pipelines (OpenCV, OpenGL, CUDA)

Location

  • Vancouver, BC or Palo Alto, CA

To Apply:

Please visit www.inscopix.com/careers

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