Join Neko Health as a Senior Data Scientist and make a difference in the health-tech industry! We're looking for an imaginative and talented individual who is eager to help us develop and operate our secure, world-scale, and performant health data platform.

For regulatory and legal reasons we are only looking for people that live in the EU.

About Neko Health

Neko Health is a Swedish health-tech company co-founded in 2018 by Hjalmar Nilsonne and Daniel Ek. Our vision is to create a healthcare system that can help people stay healthy through preventive measures and early detection. Neko has developed a new medical scanning technology concept to make it possible to do broad and non-invasive health data collection that is both convenient and affordable for the public. This requires completely reimagining the healthcare experience and incorporating the latest advances in sensors and AI. We are a remote first company, but the company is based in Stockholm and has 40 employees across Europe.

About the role

We are seeking a highly skilled and experienced data scientist to join our team. We are in a phase where our clinical datasets are growing and there is a need to mature our understanding of sensor performance as well as physiology and clinical value. We are also continuously developing algorithms and machine learning models for a wide variety of applications including clinically meaningful image segmentation and time-series event detection.

What we are looking for

Working with novel sensors and highly variable physiology to detect health dysfunction requires maturity with statistical analysis and modelling as well as an understanding of the raw measurement and the clinical context. An ideal candidate would have broad experience with exploratory data analysis and hypothesis refinement in collaboration with domain experts. We also have a need to extract clinically meaningful features from novel sensor data. This requires expertise with algorithm development and machine learning based on image and timeseries data. Experience working with multimodal sensor data and health data would be highly beneficial. 

We are looking for a hands-on data scientist with a proven track record of delivering value through deployment of performant algorithms and models into production. A PhD or MSc in a quantitative data-centric field such as machine learning or physics is strongly preferred.

We think that willingness and ability to learn is more important than a perfect match between your skillset and our technology stack, but of course there needs to be some overlap with the current tech stack. As a person you should have excellent analytical and problem-solving skills, and the ability to work in a fast-paced environment. Since you will be working in a remote first environment and work with different teams you will need strong communication skills, and the ability to collaborate effectively with cross-functional teams.

If you meet these requirements and are passionate about solving challenging problems using algorithms, we encourage you to apply for this exciting opportunity.

About the Engineering Team

Distributed and Remote First

We are 40 full time engineers at the company, working from Berlin, Chamonix, Hamburg, Lisbon, Marseille, Vilnius, and Stockholm and spanning diverse disciplines such as Hardware Engineering, Firmware Development, Electrical Design, Algorithm Development, Machine Learning Development, Optronics Research, Frontend Development and more.

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.