Senior ML Research Scientist

November 10

🇺🇸 United States – Remote

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

⏰ Full Time

🟠 Senior

🧬 Research Scientist

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NextSense, Inc

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hearable

11 - 50 employees

🧘 Wellness

Description

• As a ML/Research Scientist, you will play a crucial role in developing next-generation wearable neurotechnologies. • You will design, implement, and lead innovative research to develop novel digital biomarkers and applications for various neurological conditions. • You will work with industry partners and academic leaders on clinical trials and collaborative research projects. • You will collaborate with an interdisciplinary team of scientists, medical specialists, HW/SW engineers, and product managers to translate fundamental scientific knowledge into clinical and consumer products. • Design, execute, and present cutting-edge research to advance our biosensing earbud technology. • Apply signal processing, machine learning, and statistical analysis to decode biosignals. • Develop algorithms for automated detection of healthy and pathological neural signatures. • Contribute to the implementation of data analysis pipelines for large-scale physiological signals from clinical studies. • Collect, analyze, and interpret data for pilot and clinical studies. • Collaborate with engineering and product teams to integrate the latest research into prototypes and products. • Assist in writing peer-reviewed publications and conference abstracts. • Engage in building tools, libraries, or processes that are used throughout the company or in the open-source community.

Requirements

• Masters 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 • Strong 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 • Passionate about neurotechnologies and their potential to benefit society • 5+ years industry experience (preferred) • Comfortable conducting conventional and mobile EEG recordings or willing to learn (preferred) • Experience with cloud-based platforms (GCP preferred) • Ability to strive in a fast-paced startup environment (preferred) • Demonstrated productive publishing record (preferred) • Experience with version control (e.g., Git) (preferred)

Benefits

• Flexible/hybrid work schedule (built-in work from home days) • Equity • Retirement savings (no employer matching at this stage) • Healthcare Flexible Spending Account (FSA) • Medical, dental, vision, and life insurance • Wellness-bundle, commuter benefits • Paid vacation, holidays, parental leave