Senior​/Staff Scientist, Neuromodulation

About Neuro Bionics

Neuro Bionics, an MIT neurotechnology spinout, is developing novel implantable devices that interface seamlessly with the human body to treat neurological conditions. Leveraging over a decade of innovation, we have engineered a novel neural interface using microscale, flexible, bioelectronic fibers that can be delivered into the body through minimally invasive endovascular approaches. By making neural interfacing a minimally invasive procedure, we aim to revolutionize deep brain stimulation and broaden access to life‑changing neuromodulation therapies to millions of patients.

We are seeking a Senior Scientist to support the preclinical validation of our endovascular neuromodulation platform and spearhead the characterization and optimization of the long‑term durability and stability of our stimulation lead. In this role, you will be designing and executing animal studies that demonstrate the safety and efficacy of our ev Fiber lead across multiple therapeutic targets, and building the scientific evidence to support our regulatory program.

Alongside the preclinical work, you will take ownership of characterizing the long‑term stability and durability of the ev Fiber lead, with the guidance and direction of an expert external consultant in electrode materials science and electrochemical characterization. Your role is to execute this work collaboratively, bring a scientific lens to interpreting the results, and translate findings into design improvements.

You will work closely with our Head of Innovation, CTO, and engineering team, and will be a key contributor to our regulatory submissions and clinical trials.

Job title will be adjusted based on experience.

This is an extraordinary opportunity to join a small, early‑stage, VC‑backed neurotechnology startup and shape the scientific direction of a cutting‑edge implantable technology with the potential to treat millions of patients. This position will be on‑site in Cambridge, MA.

In this role, you will be responsible for two interconnected areas: (1) designing and executing preclinical animal studies to validate the neuromodulation efficacy and safety of the ev Fiber platform, and (2) characterizing and improving the long‑term stability of the ev Fiber lead, supported by an expert external consultant.

Preclinical Animal Studies — Neuromodulation Validation

• Design and implement in vivo animal studies testing the ev Fiber neuromodulation platform across multiple therapeutic targets (e.g., vagus nerve, peripheral nerves, deep brain targets).
• Develop evidence‑based stimulation paradigms by reviewing the neuromodulation literature, and define appropriate outcome measures and controls for each target and indication.
• Record, process, and analyze electrophysiology data and other physiologic endpoints (e.g., stimulation‑evoked neural activity, cardiovascular responses, autonomic effects) to demonstrate neuromodulation efficacy.
• Perform quantitative data analysis and results visualization on electrophysiology time series and physiologic datasets; synthesize findings into clear scientific reports and presentations.
• Contribute to preclinical study reports and regulatory documentation in support of 510(k) or IDE submissions.
• Stay current with the neuromodulation literature across central and peripheral targets; identify relevant benchmarks and translate insights into study design and stimulation parameters.

Electrode & Lead Characterization — Chronic Stability

Working closely with our expert external consultant in electrode materials science and electrochemical characterization, you will:

• Execute electrochemical characterization of the electrodes on the ev Fiber lead — including impedance spectroscopy, cyclic voltammetry, charge injection capacity, and charge storage capacity measurements — under the guidance of our external consultant.
• Assist in designing and running accelerated aging experiments to evaluate long‑term electrode and lead stability; interpret results against FDA/ISO safety standards and Shannon charge injection limits.
• Help identify and characterize failure modes of the current…