Data Engineer/Data Scientist (f/m/d) for Machine Learning (ML) in Magnetic Resoncance (MR)

Then come and join our global team as Data Engineer/Data Scientist (f/m/d) for Machine Learning (ML)-based Application Development in Magnetic Resoncance (MR).

Choose the best place for your work – Within the scope of this position, it is possible, in consultation with your manager, to work mobile (within Germany) up to an average volume of 60% of the respective working hours.

Your tasks and responsibilities:

• You manage and extend our pool of MRI training and validation data
• You ensure compliant data ingestion from customers, collaboration partners, and internal teams
• You organize and store data efficiently and implement quality control measures for data
• You establish Standard Operating Procedures for data handling and storage within the organization
• You ensure data integrity and accessibility for machine learning projects
• You support ML development activities by assisting in data selection and dataset curation considering statistical soundness and requirements for regulatory approvals
• You work closely with our scientists and engineers to train, evaluate, and improve ML models
• You perform tests and statistical analyses on our data
• You support regulatory submission processes by delivering data management specifications

To find out more about the specific business, have a look at Magnetic Resonance Imaging

Your qualifications and experience:

• You have successfully completed a university degree (Master's/Diploma) in Computer Science, Data Science, Machine Learning, Biomedical Engineering or similar; a PhD degree is a plus
• You have several years of professional experience in data science and machine learning, preferably within medical imaging or healthcare
• You have proficiency in Python, R; experience with TensorFlow, PyTorch, scikit-learn and C++
• You have a proven track record of establishing and maintaining standard operating procedures for data handling and storage
• You are familiar with ensuring data integrity and accessibility for advanced ML projects
• You have knowledge of statistical modeling and methods and regulatory requirements in data management

Your attributes and skills:

• Since the development teams of the Application Release Train are spread internationally across three locations, communication in English is not a problem for you
• We win together - that's why you are proactively committed to delivering the best possible solutions to our customers
• You present your ideas and results confidently and convincingly in cross-functional development teams
• Personally, you are characterized by your strong teamwork and cooperation skills as well as your persuasiveness