Senior ML - Research Scientist

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NextSense, Inc

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Unlocking brain health through the ear. Bringing neural insight to daily life and transforming use in the clinic.

hearable

11 - 50

Description

• Play a crucial role in developing next-generation wearable neurotechnologies. • Design, implement, and lead innovative research to develop novel digital biomarkers and applications. • Collaborate with industry partners and academic leaders on clinical trials and collaborative research projects. • Work with an interdisciplinary team to translate scientific knowledge into clinical products. • Design, execute, and present cutting-edge research to advance 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 data analysis pipelines for large-scale physiological signals. • Collect, analyze, and interpret data for pilot and clinical studies. • Collaborate with engineering and product teams to integrate research into prototypes. • Assist in writing peer-reviewed publications and conference abstracts. • Engage in building tools, libraries, or processes for 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