Senior Data Engineer

About Synchron Synchron is a clinical-stage endovascular brain computer interface (BCI) company. Since 2012, the company has been developing a BCI platform that avoids the need for open brain surgery by using a minimally-invasive procedure. The Synchron Switch™ BCI received FDA Breakthrough Device Designation in 2020, and is currently in human clinical trials in the US and Australia. The company recently announced an oversubscribed $75 million Series C financing round led by ARCH Venture Partners, with participation from Gates Frontier, Bezos Expeditions and other top-tier investors. The funds will accelerate product development, facilitate commencement of a pivotal clinical trial, and advance Synchron towards a first-in-class BCI market approval for the treatment of paralysis. The Synchron Switch™ brain computer interface is implanted in the blood vessel on the surface of the motor cortex of the brain via the jugular vein, through a minimally-invasive endovascular procedure. Once implanted, it is designed to detect and wirelessly transmit motor intent out of the brain, restoring a capability for severely paralyzed patients to control personal devices with hands-free point-and-click. Synchron is a dynamic, multi-disciplinary and rapidly growing team. Join our mission of developing a first-in-class commercial BCI for more than 100 million people worldwide with upper limb impairment. Help people with previously untreatable conditions regain connection to the world. Job Description: We are seeking a skilled BCI Cloud Data Engineer with a strong background in setting up and maintaining interactive cloud infrastructure that is optimized for neuro-electrophysiological data. As a vital member of our team, you will be responsible for continuing to build out and optimize our cloud-based solutions that empower our products and data scientists to perform their work efficiently and effectively. Your expertise in cloud development and working with neuro-electrophysiological data will contribute to the seamless execution of data pipelines, the creation of a user-friendly Python API, and the development of robust database and visualization tools. Responsibilities: - Define optimal data infrastructure for Synchron’s neuroprosthetic dataset across the variety of AWS services available to create an ecosystem for collaboration. - Set up infrastructure to support the automatic execution of data pipelines - Develop a Python API that empowers data scientists - Build and manage a scalable database to store pipeline outputs - Create visualization tools and interfaces for data scientists - Implement robust security measures to ensure secure access - Collaborate with cross-functional teams - Provide technical support and guidance to data scientists Qualifications: - Qualified candidates will have academic and professional experience with neurology and computer science in some combination. - Experience in working with neuro-electrophysiological data sets. - Experience in working with synchronized multi-stream, multi-dimensional time-series data. - Proven experience in designing, implementing, and maintaining cloud-based solutions - Proficiency in Python programming and experience building APIs for data manipulation and interaction. - Strong understanding of data science frameworks - Familiarity with database design - Solid knowledge of security principles and practices for cloud-based environments. - Experience in developing visualization tools and interfaces for data analysis. - Excellent organizational skills and the ability to manage multiple tasks and priorities Join our dynamic team and contribute to the advancement of our cutting-edge cloud infrastructure. Strong preference for applicants in the NYC Metro Area. The salary range for positions that will be physically based in the NYC Metro Area is $150,000-185,000.