Data Management Professional for AI-Driven Medical Software
vor 4 Wochen
AURA Health Technologies GmbH is revolutionizing breast cancer surgery with its advanced ultrasound software powered by AI. This innovative company offers a unique opportunity to contribute to technology that positively impacts the lives of over 500,000 patients annually.
As a Data Management professional, you will play a crucial role in maintaining data pipelines and ensuring the quality and structure of datasets used in cutting-edge machine learning models.
This position is ideal for motivated individuals who want to take on responsibility within our R&D team and help us change how medical ultrasound is used.
Job Responsibilities:- 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
- 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
- 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. If this role resonates with you, please submit your application, including a cover letter outlining your motivation for this role and your earliest possible start date.
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