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. Additionally, you will play a key role in ensuring secure access to the infrastructure and in scaling our system to accommodate a growing number of users.

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, enabling streamlined data processing and analysis in the cloud.
• Develop a Python API that empowers data scientists to harness the full capabilities of the cloud infrastructure and execute their tasks seamlessly.
• Build and manage a scalable database to store pipeline outputs and data scientist work sessions, ensuring data integrity and easy retrieval.
• Create visualization tools and interfaces for data scientists to explore and interpret information stored in the database, enhancing the decision-making process.
• Implement robust security measures to ensure secure access to the cloud infrastructure, data, and applications.
• Collaborate with cross-functional teams to continuously optimize and enhance the platform's performance, scalability, and reliability.
• Provide technical support and guidance to data scientists, assisting them in effectively utilizing the cloud-based tools and resources.
• Contribute to the maintenance and improvement of an existing research cloud platform, leveraging your expertise to enhance its capabilities and functionality.
• Stay updated with the latest developments in cloud technologies, data science frameworks (Numpy, Pandas, Scikit-learn, PyTorch, TensorFlow), and best practices, and apply them to drive innovation within the organization.

Qualifications:

• Qualified candidates will have academic and professional experience with neurology and computer science in some combination.  Bachelors' degree required; Ph.D. and more advanced scientific training encouraged to apply. 
• 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 using AWS services, including Lambda functions and SageMaker.
• Proficiency in Python programming and experience building APIs for data manipulation and interaction.
• Strong understanding of data science frameworks such as Numpy, Pandas, Scikit-learn, PyTorch, and TensorFlow.
• Familiarity with database design, management, and o