Junior Data Scientist: Bioinformatics
Location: Anywhere (remote)
Salary: $70,000 – $106,000 (source: Built in Chicago)
This opportunity focuses on aiding with data processing, management, and analysis of dynamic cellular data in the contexts of both cellular and animal models. The long-term translational goal is to develop models to predict effective targeted programs of spinal cord electrical stimulation as part of “neuro-rehabilitation” in patients with paralysis or neurodegeneration.
These data will be generated by the lab and provided in pre-processed form:
- Mouse behavior
- Body position/location – pose estimation video capture (3 cameras) followed by DeepLabCut or similar
- Physical sensors – force transducers, accelerometer, etc.
- Automated localization analysis and counting of cFos positive cells from spinal cord images
- Above + analysis of co-localization of cell type specific markers
- Multi-unit array electrophysiology recordings of the neural activity in dozens to hundreds of units/cells in each animal
- Above + “opto-tagging” to genetically identify specific units
You will …
- Integrate data from multiple sources into a multi-dimensional shared space
- Identify features/components (dimensionality reduction/PCA or similar)
- Apply machine learning to identify key features and their relationships to “anchor” data (ex. body position)
- Develop a user-friendly interface for internal (our lab) use and data exploration
- Perform neural decoding, dynamical systems modeling, and data analysis (as noted above), including informal consultation on data pre-processing
- Interpret and communicate results of analysis in written and oral formats to team, and generate accompanying graphical visualizations of data
- Participate regularly in lab meetings and become an integrated team member
- Develop a user-friendly data commons to facilitate exploration and discovery for members of the lab, spinal cord and motor control researchers, and the larger neuroscience and robotics communities