Neurotechnology Innovator

Company Overview
NextSense is a pioneering firm in the neurotechnology sector, dedicated to revolutionizing brain health and establishing a new paradigm in neurocare. Our mission is to harness the power of disruptive brain-sensing earbud technology and digital ecosystems to diagnose and optimize therapy for diverse neurological conditions.

Estimated Salary: $120,000 - $180,000 per annum, depending on experience, with additional benefits such as equity and flexible work arrangements.

Job Description
We are seeking a highly skilled Machine Learning/Research Scientist to join our team. As a key player in developing next-generation wearable neurotechnologies, you will design, implement, and lead innovative research projects to develop novel digital biomarkers and applications for various neurological conditions. You will collaborate with industry partners and academic leaders on clinical trials and collaborative research projects, working closely with an interdisciplinary team of scientists, medical specialists, HW/SW engineers, and product managers to translate fundamental scientific knowledge into clinical and consumer products.

Key Responsibilities:
• Design, execute, and present cutting-edge research to advance our biosensing earbud technology.
• Apply signal processing, machine learning, and statistical analysis to decode biosignals, contributing to the development of algorithms for automated detection of healthy and pathological neural signatures.
• Collaborate with engineering and product teams to integrate the latest research into prototypes and products, ensuring seamless implementation of data analysis pipelines for large-scale physiological signals from clinical studies.
• Collect, analyze, and interpret data for pilot and clinical studies, engaging in writing peer-reviewed publications and conference abstracts.
• Build tools, libraries, or processes that are used throughout the company or in the open-source community, fostering collaboration and innovation within the team.

Required Skills and Qualifications
Masters degree in computational neuroscience, systems neuroscience, bioengineering, bioinformatics, computer science, electrical engineering, or related fields/experience. Strong Python programming skills, ability to demonstrate mastery through work experience or personal projects. Expertise in technical skills associated with biosignal time-series analysis, including signal processing, machine/deep learning, advanced statistics, and data visualization. Excellent written, verbal, interpersonal communication, and presentation skills. Passion for neurotechnologies and their potential to benefit society.

Preferred Qualifications
5+ years industry experience. Comfortable conducting conventional and mobile EEG recordings or willing to learn. Experience with cloud-based platforms (GCP preferred). Ability to thrive in a fast-paced startup environment. Demonstrated productive publishing record. Experience with version control (e.g., Git).

Benefits
Flexible/hybrid work schedule (built-in work from home days). Equity. Retirement savings (no employer matching at this stage). Medical, dental, vision, and life insurance. Paid vacation, holidays, parental leave.

---