About this role
Data Science Lead is a full-time position based in Stockholm at neko-health, tailored for experienced professionals specializing in physics-based modeling and optical imaging algorithms. This role suits a technical leader who wants to contribute to preventative healthcare by translating novel sensor data into production-ready clinical systems.
Role Overview
The Data Science Lead at neko-health in Stockholm focuses on projects such as Laser Speckle and other Optical Imaging within the Data Science Team. The professional in this position transforms novel sensor data streams into validated algorithms that integrate directly into clinical products and backend infrastructure. Working closely with hardware engineers, clinical researchers, and optics specialists, the Lead helps advance preventative healthcare measurement science.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
About the Company
neko-health in Stockholm works to make data-driven, preventative care accessible before symptoms appear. The organization combines proprietary technology and direct clinical care during non-invasive visits under an hour to deliver personalized insights. Engineering teams operate in flexible, cross-functional project groups that track yearly and quarterly goals with bi-weekly check-ins and engineering demos.
How to Apply
Interested candidates should apply directly on the official company careers page.
Skills and tech stack
Questions candidates ask
What is the location of the Data Science Lead role?
The position is based in Stockholm.
What educational background is required?
An MSc or PhD in Physics, Optical Engineering, Biomedical Engineering, Electrical Engineering, or a related field is required.
How many years of experience are needed?
Candidates need 7+ years of relevant industry experience, or 5+ years post-PhD.
What technical focus areas are mentioned for the algorithms?
The work involves physics-based modeling and simulation, laser measurement techniques such as laser speckle, doppler, OCT, interferometry, lidar FMCW, or spectroscopy, and working at the hardware-software boundary.
How do engineering teams operate at neko-health?
The engineering team is organized into smaller cross-functional project teams that track goals annually and quarterly, participate in bi-weekly goal follow-ups, and share progress during bi-weekly engineering demos.