At AURA Health Technologies GmbH, we are revolutionizing breast cancer surgery through advanced ultrasound software powered by AI. Join our Berlin-based R&D team and contribute to technology that impacts the lives of over 500,000 patients annually.

As a Data Management Intern, you will support data pipeline maintenance and ensure the quality and structure of datasets used in our cutting-edge machine learning models.

This is a fantastic opportunity for a motivated and skilled student or recent graduate to take on responsibility within our R&D team and help us meaningfully change how medical ultrasound is used.

Tasks

Collect, clean, and organize datasets for machine learning and analysis
Monitor and optimize data pipelines, troubleshooting issues proactively
Assist with routine data validation tasks to maintain data integrity
Collaborate with the R&D team on labeling and categorizing datasets
Participate in small-scale machine learning tasks under mentorship

Requirements

Proficiency in Python (experience with libraries like Pandas is a plus)
Familiarity with MongoDB (querying) and version control tools (Git)
Basic experience with data visualization
Strong analytical mindset with attention to detail
Team player with excellent communication skills
Ability to perform repetitive tasks with focus and consistency
Minimum availability of 8 hours per week, with at least biweekly office presence
Prior coursework or project experience in machine learning is a plus

Benefits

Meaningful Work: Contribute to a product that improves the lives of over 500,000 patients annually, enhancing breast cancer diagnostics and care.
Professional Growth: Gain hands-on experience in AI-driven medical software development and learn from an innovative R&D team.
Dynamic Work Environment: Be part of an international and motivated team with flat hierarchies, direct communication, and short decision-making processes.
Flexible Work Setup: Enjoy flexible working hours, remote work options, and biweekly in-office collaboration.
Skill Development: Work on versatile and challenging tasks that help you develop technical and soft skills critical for your future career.
Fair Compensation: For internships not part of a mandatory university curriculum, we offer appropriate financial compensation.

We are committed to providing equal opportunities and encourage applications from individuals of all backgrounds, even if you don’t meet every single requirement. If this role resonates with you, let’s connect!

We look forward to receiving your application, including a cover letter outlining your motivation for this role and your earliest possible start date. Please submit your documents online. All information will be treated with the utmost confidentiality and discretion.

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