Data Science and Machine Learning Engineer (m/f/d)
Data Science and Machine Learning Engineer (m/f/d)
Data Science and Machine Learning Engineer (m/f/d)
Data Science and Machine Learning Engineer (m/f/d)
GAIA AG
Gesundheit, Soziales
Hamburg
- Art der Anstellung: Vollzeit
- 68.500 € – 79.000 € (von XING geschätzt)
- Hybrid
- Zu den Ersten gehören
Data Science and Machine Learning Engineer (m/f/d)
Über diesen Job
Job Description
GAIA stands as a global leader and innovator in digital health. We foster successful collaborations with distinguished industrial firms, health insurance providers, medical organizations, and prominent universities across Europe, the USA, and Asia, integrating scientific, technological, and therapeutic expertise.
To strengthen our team, we are seeking a
Data Science and Machine Learning Engineer (m/f/d)
Location:Remote (Germany) or Hamburg, Germany
Start Date:As soon as possible
Employment Type:Full-time
As a Data Science and Machine Learning Engineer, you will contribute to the development and validation of intelligent algorithms that identify medically relevant patterns in complex datasets. Your work will directly support the creation of certified digital medical products used by healthcare professionals and patients.
Your Responsibilities
- 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 (EG, MDR, ISO 13485)
Your Profile
- Degree in Computer Science, Data Science, Bioinformatics, or related field
- Working on machine learning tasks (eg, 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
We Offer
- 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)
How to Apply
We'd love to get to know you beyond your CV! Please send us the following:
- A link to a short video (max. 2-minute) introducing yourself and sharing your motivation for applying to this role at GAIA AG
- Tell us what excites you about working with digital medical products and machine learning.
- The video doesn't need to be formal — we just want to get a sense of who you are and why you'd be a great fit.
- Your CV (and optionally your LinkedIn or GitHub profile)
- Any relevant work samples or project links that showcase your experience
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