Seeking a seasoned data scientist to advance methodologies for cardiovascular health assessment, collaborating with medical experts and algorithmic team.
Neko Health is a Swedish healthcare technology company co-founded in 2018 by Hjalmar Nilsonne and Daniel Ek. Neko's vision is to shift healthcare from reactive treatment toward preventative health and early detection. This requires completely reimagining the patient's experience and incorporating the latest advances in sensors and AI. Neko Health has developed a new medical scanning technology concept to make it possible to do broad and non-invasive health data collection that is convenient and affordable for the public. The company is based in Stockholm, offering the Neko Body Scan experience at locations in Stockholm, London and Manchester, with over 500 employees.
About the role
We are hiring multiple Senior Data Scientists to join our Algorithm team, working across projects such as Laser Speckle, cECG, Thermal Imaging, Cardiovascular Algorithms, and Tissue Imaging. These roles involve taking novel sensor data streams and turning them into validated, production-ready algorithms with real clinical impact. You will collaborate with engineers, clinicians, and researchers to develop prototypes, validate clinical use-cases, and deliver algorithms and ML models that are integrated into Neko Health’s clinics and products.
Responsibilities (project agnostic):
- Develop, verify, validate, and deploy machine learning models and algorithms for clinical decision support based on health data.
- Collaborate cross-functionally with hardware engineers, medical doctors, and clinical researchers.
- Deliver production-quality code and integrate algorithms into Neko’s backend infrastructure.
- Analyze clinical study data and support regulatory readiness of algorithms.
- Mentor and collaborate within a high-performing, multidisciplinary team.
Requirements:
- MSc/PhD in ML, Computer Science, Physics, Biomedical Engineering, or similar.
- 5+ years relevant industry experience, or 2+ years post-PhD.
- Deep knowledge of ML, time-series analysis, or computer vision.
- Strong software engineering skills and experience shipping algorithms to production.
- Experience working with sensor data and cross-functional R&D environments.
- Motivation to apply cutting-edge science to improve preventative healthcare.
About the Engineering Team
Distributed and Remote First
We are nearly 100 full time engineers at the company, working from Berlin, Chamonix, Hamburg, Lisbon, Marseille, Vilnius, and Stockholm, spanning diverse disciplines such as Hardware Engineering, Firmware Development, Electrical Design, Algorithm Development, Machine Learning Development, Optronics Research, Frontend Development and more. We don't expect people to join us with a specific tech knowledge, but we do expect you to work with our tools. We use a mix of React, Typescript, C++, and Python. Our APIs are written in C# with ASP.NET Core, uses Azure Cosmos DB, and Azure Active Directory for authentication.
Our headquarters and our hardware development team are in Stockholm, Sweden.
We are a Remote First company; however, it is of course much easier to work remotely as a software engineer than a hardware or firmware engineer (since they require access to hardware or devices occasionally). Software engineers based in Stockholm work maybe one day a week or one day every two weeks from the office.
We meet a couple of times per year to get to know each other and have fun.
Organization and Way of Working
The engineering team is divided into smaller cross functional project teams that each focus on a specific goal or target, where some groups are long-lived, and some are short-lived, depending on how big the goal or deliverable is. We strive to create groups which are cross-functional and able to complete their goals without dependence on other teams, even though this is of course not always possible.
Groups track goals on a yearly and quarterly basis with goal follow-up across the entire engineering organization on a bi-weekly basis. Most groups do internal planning on a bi-weekly basis, but in the end it's up to the group to decide how they want to work.
We have, however, mandated that all groups must present their progress or failures or hacks at our bi-weekly engineering demo, a fun meeting/presentation where we talk about everything from short-circuiting power-modules, how hard it is to calibrate cameras or align polygons in space, to neat new command line tools for operations, a new auth mechanism in the backend, a cool new way to visualize health data or a new feature which helps our doctors be more productive.
We have a flexible workplace that focuses on work/life balance, and we strongly believe in our mission but do not think that achieving it requires sacrificing everything else.
Top Skills
Asp.Net Core
Azure Cosmos Db
C#
C++
Machine Learning
Python
React
Signal Processing
Typescript
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