Adraxe: Neural Engineer

Company Overview

Adraxe Corporation is an innovative medical device startup focused on the design, development, and launch of breakthrough, minimally invasive neuromodulation solutions to address unmet patient needs. The results from the first clinical epilepsy patients are encouraging and we are at the important stage of hiring key personnel to accelerate our progress and start our full product and clinical development. Our goal is to revolutionize neurological care with life-compatible, closed-loop neuromodulation therapies, starting with epilepsy.

The neural engineer will be responsible for designing model-based software and devising a plan to ensure that this software is based on sound scientific evidence and incorporates electric field modeling. The engineer will also focus on developing a semi-automatic data pipeline that would offer the future clinician various configuration options.

In addition, the neural engineer will work on seizure and epileptiform brain activity detection algorithms that are accurate and energy efficient.

Finally, the neural engineer will participate in intellectual property development activities.

The neural engineer reports directly to the VP of Engineering with a functional reporting line to the CEO for neuroscience analysis and will have significant input into Adraxe strategy, planning, and operations.

• Fully understand and, where possible, test existing modeling software.
• Define user requirements and specifications for model‑based software.
• Ensure that all software code used from third parties is well documented and that Adraxe has the right to use the technology.
• Identify partners that can provide software code for items such as image segmentation, tissue assignment etc.
• Develop a validation strategy for the software.
• Review scientific literature relevant to electrical field modeling software.
• Landscape EEG‑based seizure detection technology.
• Develop the capability to test different detection algorithms against annotated EEG data sets.
• Test and compare the effectiveness of various alternative algorithms as well as the power requirements to implement these algorithms in a medical device.
• Develop a system that is used to train various algorithms.

• PhD in Engineering or Neuroscience.
• Track record in electric field modeling of the human brain such as ROAST or Sim Nibs.
• Demonstrated understanding of the application of Machine Learning algorithms.
• Track record of academic collaborations.
• Background in physiologic signal capture and analysis.
• Excellent written and verbal communication skills.

• This position is located in Plymouth, MN.
• This position is a hybrid position with an expectation of roughly 75% in office and 25% remote work.
• This position requires approximately 20% travel.