Job
- Level
- Lead
- Job Field
- Software, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Heidelberg
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you develop AI applications for radiological diagnostics, optimize algorithms, and oversee medical software solutions until market readiness while ensuring quality and regulatory compliance.
Job Technologies
Your role in the team
- They design, develop, and optimize AI applications for radiological diagnostics and clinical decision support.
- They develop software solutions and algorithms for medical applications and support them until they reach market readiness.
- They analyze and structure large medical datasets and develop innovative data-driven solutions from them.
- You are responsible for planning, executing, and documenting validation and quality assurance processes for AI systems.
- They ensure compliance with regulatory requirements (including MDR, ISO 13485, IEC 62304, ISO 14971, as well as guidelines for AI medical devices).
- They accompany approval and certification processes in close collaboration with internal and external partners.
- They coordinate research and development projects with universities, clinics, and industry partners.
- They work closely with radiologists, software developers, product management, and external AI vendors.
- They evaluate new technologies, scientific developments, and market trends in the field of Artificial Intelligence.
- They continuously develop internal quality standards and processes and establish best practices.
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Our expectations of you
Education
- Successfully completed studies in Computer Science, Data Science, Business Informatics, Medical Informatics, Mathematics, Physics, or a comparable degree program.
Qualifications
- Very good knowledge of Python as well as modern machine learning frameworks (e.g., TensorFlow, PyTorch, or comparable technologies).
- Knowledge of regulatory requirements for medical devices as well as quality management is an advantage.
- Analytical thinking skills as well as a structured, solution-oriented working approach.
- High level of initiative, enthusiasm for innovation, and entrepreneurial thinking.
- Strong communication skills as well as enjoyment of interdisciplinary collaboration.
- Excellent spoken and written proficiency in German and English.
Experience
- Several years of professional experience in Data Science, Machine Learning, or Software Development.
- Ideally, experience with AI applications in radiology or medical image processing.
- Experience with DICOM data, medical imaging data, or clinical information systems is desirable.
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What we offer
- The opportunity to actively shape the future of artificial intelligence in radiology.
- High degree of creative freedom with short decision-making processes and direct collaboration with management.
- Participation in innovative projects with direct benefits for patient care and medical diagnostics.
- An interdisciplinary team of medicine, computer science, data science, and quality management.
- Modern workplaces as well as flexible working hours and home office options.
- Continuous personal and professional development.
- Energy for your everyday life: Fresh fruit, snacks, nuts, and good coffee are available for you.
- Space for exchange: modern lounges, co-working areas, and short communication channels.
- Experiences that connect: Team-building events and corporate functions.
- Time to recover: 30 days of vacation.
- Additional security: Private supplementary health insurance.
- Perspectives within the Synamed Group with diverse development and career opportunities.
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Benefits
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Job Locations
This is your employer
Curagita AG
Curagita AG, based in Heidelberg, is a renowned company specializing in management and network services for radiological practices and hospitals. With an interdisciplinary team, the company provides practical support and network management in the field of radiology. Since its founding in 1999, Curagita has been actively involved in the German healthcare system.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Healthcare, Social Sector