Senior Data Science/AI Engineer

Onera Health

Eindhoven, Netherlands

As a Senior Data Science/AI Engineer you will be instrumental and take the lead in analyzing large amounts of physiological patient data and in the definition of AI/ML algorithms for sleep physiological signal analysis.

Key Responsibilities - What You’ll Do

Design, develop, and test sleep analysis algorithms from physiological signals (mainly in python);
Deploy state-of-the-art AI/ML analytical algorithms and rule based algorithms using AWS and python;
Create sound documentation for the solutions and algorithms;
Work in compliance with company quality processes (ISO13485 and IEC 62304) for medical device development;
Keep abreast of state-of-the-art research, patents, and products in the field of AI/ML for sleep analysis. Determine and select best approaches for Onera;
Analyze large amount of physiological data as well as other types of product data (e.g. logs, usage data);
You’ll work in a team with software engineers developing and delivering to customers a digital sleep analysis software product;
You’ll write product level code (AI/ML modules) and bring the code to production;
You’ll regularly engage with stakeholders internal and external to help define and shape the algorithmic approach (e.g. clinicians, scientists, researchers);
You’ll use your knowledge and observations about the data to define new data analysis approaches. Good product documentation as well as publications and/or patents are expected.

Requirements - What You'll Bring

Masters, PhD or equivalent in quantitive field (Computer Science, Mathematics, Engineering, Statistics. Etc.);
More than 5 years in data science and/or AI/ML engineering role (preferably in product development);
Solid knowledge of signal processing and feature extraction from physiological signals;
Experience in the interpretation of physiological signals;
Excellent Python programming skills following best practices;
Experience with cloud deployment of AI/ML modules (AWS preferred), operational concepts (AI in the product lifecycle) is preferred;
Experience with AI/ML frameworks such as TensorFlow, Keras, PyTorch, etc.;
Extensive working experience with machine learning evaluation metrics and best practices;
Experience in data science scale and operational concepts (AI in the product lifecycle);
Experience working in an AGILE project/setting (e.g. Scrum, Kanban, etc.);
Prior experience in medical software development for healthcare is a strong plus;
You are passionate about data, AI and machine learning;
You have excellent analytical, conceptual thinking and problem solving skills;
You have a can-do attitude with curiosity and eagerness to learn;
You are pro-active and focused on results with strong sense of responsibility and accountability.