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)
   

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Job Description

NextSense is a cloud based engineering organization with all of our data infrastructure in Google Cloud (GCP) leveraging BigQuery, Compute Engine and Kubernetes.  This is a great opportunity to come in and help us redesign or rework our existing data infrastructure.

Responsibilities:

• 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.
   

Qualifications

• 3+ years in building a data warehouse and data pipelines. Or, 5+ years in data intensive engineering roles.
• Solid understanding of databases (relational, key/value, document, columnar, olap, graph)
• Strong SWE principles and OO experience
• Experience with GCP, Kubernetes 
• Experience building and running in production (24x7 environments) distributed large-scale systems
• Experience in working on Cloud Distributed Storage/Databases and/or data technologies that power analytics (e.g., Pinot, Druid, Redshift, Hadoop, Spark, Presto, Kafka, Flink, etc. or similar technologies)
• Experience in Building Micro services & Cloud Platforms on AWS, Azure etc
• Experience with open source project management and governance
• Hands on experience developing distributed systems, databases, or other large scale data systems.

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