Data Science and Machine Learning Engineer

• Transform complex, high-rate multidimensional data from real-world applications into clean, structured formats ready for analysis and machine learning
• Develop and implement machine learning algorithms for data-driven detection of indication-relevant patterns
• Integrate and optimize ML components within digital health applications
• Validate and evaluate model performance with clinical and real-world data
• Collaborate closely with software engineers, data scientists, and medical experts to translate clinical needs into technical solutions
• Contribute to documentation and compliance with medical device regulations (e.g., MDR, ISO 13485)

• Degree in Computer Science, Data Science, Bioinformatics, or related field
• Working on machine learning tasks (e.g., by using scikit-learn, TensorFlow, PyTorch) without supervision
• Strong understanding of data preprocessing, feature engineering, and model validation
• Experience with Python, version control systems (Git), and virtual machines
• Understanding of statistical methods and data visualization
• Advantageous: Experience in healthcare, life sciences, or regulated environments

• The opportunity to work on innovative digital therapeutics that make a real difference in patients' lives
• A multidisciplinary and supportive team environment
• Continuous education and training opportunities
• Attractive compensation and benefits
• Flexible, performance-oriented work in a digital environment at our office in Hamburg Winterhude and remotely (within Germany)

We are global pioneers in digital therapeutics, successfully launching our first product in 2001.

Our mission is to develop clinically validated digital therapeutics that empower patients, payers, and physicians with effective, FDA cleared products that have the same effect sizes as drugs.

Our products are created by our team of multidisciplinary experts, covering all competencies required to develop, launch and maintain top-of-class products for major markets. Our team includes experienced physicians and psychotherapists, clinical scientists experienced in orchestrating Phase II & III trials, IT and software engineers, regulatory affairs experts as well as market access specialists.