NextSense, Inc

• 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.

• Understand the data needs of different engineering teams at NextSense, including HWE, Clinical and Research • Understand end to end data interactions and dependencies across our existing data pipelines and data transformation and how they impact business decisions. • Design best practices for big data processing, data modeling and warehouse development for NextSense. • Build integration and automation across different systems to scale data operations and increase efficiency.

Company Description About NextSense: NextSense’s vision is to be the foundation of brain health and establish a new paradigm in neurocare. Powered by a disruptive brain-sensing earbud technology and digital ecosystem, our mission is to establish new ways of diagnosing and optimizing therapy for diverse neurological conditions. We hope to unlock brain health for everyone with real world data insights and practical, scientific wisdom for daily living. Job Description About the Job: 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. 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. 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. Qualifications Minimum Qualifications: 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 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 strive in a fast-paced startup environment Demonstrated productive publishing record Experience with version control (e.g., Git) Additional Information Benefits: Our careers benefits include but are not limited to the following: 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 Location: Mountain View, CA (not a remote position) Employment Eligibility: At this time NextSense is only considering candidates for this role who are eligible to legally work in the US without any Visa sponsor/transfer requirements now or in the future.  Eligible candidates who can work on a TN Visa from Mexico or Canada will be considered.