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Data Science Lead

Neko Health· Engineering
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Hybrid (Stockholm)Full-timePosted 6mo ago

About the role

Data Science Lead role focused on turning novel sensor data streams into validated, production-ready algorithms with real clinical impact, collaborating across hardware, optics, and clinical teams to deploy physics-based AI in Neko Health clinics and products.

Responsibilities

  • Develop, verify, validate and deploy physics-based algorithms for laser measurement systems, contributing to new product capabilities or research breakthroughs that improve member outcomes
  • Collaborate with optical engineers, hardware developers and clinical researchers to deliver algorithms that bridge the gap between physical sensor behaviour and production software in Neko Health's clinics and products
  • Deliver production-quality code and integrate physics-aware algorithms into Neko's backend infrastructure
  • Design and execute calibration, validation and noise characterisation methods for measurement algorithms
  • Mentor and collaborate within a high-performing, multidisciplinary team, contributing to a culture of openness and continuous improvement

Qualifications

  • MSc or PhD in Physics, Optical Engineering, Biomedical Engineering, Electrical Engineering or related field, with 7+ years of relevant industry experience, or 5+ years post-PhD
  • Deep knowledge of physics-based modelling and simulation: translating physical systems into code from first principles
  • Experience with laser-based measurement techniques (e.g., laser speckle, doppler, OCT, interferometry, lidar FMCW or spectroscopy) or related fields
  • Strong software engineering skills and proven experience shipping algorithms to production
  • Experience at the hardware–software boundary: characterising sensors, building calibration pipelines and validating measurements against ground truth
  • AI fluent: using current AI tooling to increase productivity and efficiency

Skills

Required:Physics-based modellingLaser-based measurement techniquesSoftware engineeringHardware–software boundary experienceAI tooling

Benefits

  • Not specified in the description
Last updated Oct 23, 2026. Interested? Apply on the company site.
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