Data Scientist

Culver City, CA    ·    Data Science / Algorithms    ·    Permanent    ·    Full-Time

Kernel is building world leading, non-invasive brain interface technology.

We are looking for an experienced Data Scientist to support the algorithmic development, processing, analysis, visualization, and interpretation of the neural data from our new technologies. The ideal candidate has an intuitive grasp of a rich portfolio of filtering, pre-processing, dimensionality reduction, analysis, and machine learning techniques for various modalities of high-dimensional data. As the data opportunities we face are vast and complex, collaborating effectively with a team on larger projects, as well as digging deep individually, will both be key.

Neuroscience is the new rocket science.

ESSENTIAL FUNCTIONS:

• Rapidly research, implement, validate, and extend signal processing and analysis algorithms and techniques from the relevant literature
• Generate robust, well-documented, scalable tooling and scaffolding in the process
• Perform targeted analysis on processed data to optimally expose information content. Find issues and interface with/report back to the relevant teams (hardware, firmware, software, experimental) to resolve them
• Communicate progress, challenges, and results effectively to team members

BASIC QUALIFICATIONS:

• Master’s degree in a quantitative field and strong mathematics and statistics background
• 3+ years of industry experience performing advanced signal processing, data analysis, and visualization.
• Experience analyzing (neuro-)physiological time series data
• Industry-grade coding and software engineering skills. The candidate should be able to write clean, efficient, and well-documented code in python; deeply understand decomposition, modularity, abstraction, and object-oriented programming; be comfortable with numerical python (numpy, scipy, matplotlib); and be familiar with collaborative software development including version control and code reviews

PREFERRED SKILLS:

• PhD in physics, mathematics, neuroscience, engineering or related quantitative field
• Extensive experience collecting, processing, analyzing, and interpreting, time dependent neuroimaging data in particular, including electromagnetic (EEG, ECoG, MEG) and hemodynamic modalities (fNIRS, fMRI)
• Experience with state of the art big data tools for parallel processing, analysis, and machine learning

This position will require access to information protected under U.S. export control laws and regulations, including the International Traffic in Arms Regulations (ITAR) and/or the Export Administration Regulations (EAR).  Please note that any offer for employment will be conditioned on authorization to receive software or technology controlled under these U.S. export control laws and regulations without sponsorship for an export license.

Please click here to apply.