Data Scientist

Mission

Neko is redefining what prevention means, from treating illness when it arrives, to sustaining health before it's ever at risk. Our mission: make data-driven, preventative care accessible to more people, before symptoms appear.

In a single, non-invasive visit under an hour, proprietary technology and direct clinical care combine to deliver personalised, actionable insights. It's a team that thinks in 10x, not 10%. Every role here plays a part in building a world where prevention is the norm, and where your work genuinely helps people live longer, healthier lives.

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

A Data Scientist at Neko Health develops and implements data solutions that drive insights from sensor and healthcare data, enabling clinical decision support, and supporting innovations. This role partners with clinical researchers, engineers, and other teams to enhance products through data-driven insights.

Responsibilities

• Data Modeling and Analysis: Develop algorithms, statistical models and machine learning models to address targeted challenges using sensor and healthcare data. Develop performance evaluation and implement performance monitoring of data products to ensure that the intended value is delivered.

• Data Management: Prepare, clean, and integrate datasets from various sources, ensuring data quality and accuracy. Collaborate with Data Engineers to build and maintain scalable data pipelines for efficient analysis.

• Support for Clinical Studies: Collaborate with clinical teams to define targeted clinical hypotheses, study variables and collection methods for clinical studies. Perform exploratory analyses and provide data insights to refine study designs.

• Research and Inno