Clinical Scientist
Neuralink · Austin, TX · Clinical
About this role
Neuralink is hiring a mid-level Data Scientist based in Austin, TX. The posting calls out experience with Python, R, GCP, Data Analytics. Compensation is listed at $108,000–$200,000 per year.
- Role
- Data Scientist
- Function
- data engineering
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Austin, TX
- Department
- Clinical
More roles at Neuralink
Job description
from Neuralink careersAbout Neuralink:
We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world.
Team Description:
The Neuralink Clinical team is at the heart of an ecosystem that merges neuroscience, engineering, and medicine. We work to shape the future of brain-computer interface (BCI) technology through the planning, launch, and execution of groundbreaking human clinical trials. Our team is built on a foundation of excellence, aiming to uphold the highest standards of Good Clinical Practice (GCP) while redefining what’s possible and revolutionizing the way people interact with technology. Through strict compliance with ethical and regulatory protocols, we focus on ensuring the well-being of our trial participants while advancing the frontiers of neuroscience! Every day will bring fresh challenges and unprecedented opportunities to pioneer new approaches in the pursuit of our mission. From navigating regulatory pathways, designing trial protocols and documentation, and executing clinical trials, our team is instrumental in translating Neuralink’s BCI technology for use in people!
Job Description and Responsibilities:
As a Clinical Scientist I, you will support the development, design, and execution of Neuralink’s clinical evidence strategy. This role focuses on translating product and research objectives into clinical study designs, supporting data analysis, and ensuring scientific rigor across clinical programs.