Medical Data Engineer & Developer – Ophthalmologie (m/f/d)

Workflow Optimization & Practice IT Analysis and optimization of clinical and administrative workflows Linking of practice-EDV (Duria), biometric devices and accounting systems (DATEV) Development of evaluation tools for business management (performance statistics, resource planning, key figures) Automation of recurring processes (batch processing, report generation) Care and development of practical web applications (PHP, JavaScript) Scientific data analysis & research Extraction and treatment of biometric and clinical data for studies and publications Statistical evaluations and validation of IOL calculation models Development of predictive models using optimization methods (NLLS, machine learning) Automated integration of external IOL calculators via web automation and APIs Modernisation of data infrastructure Migration of existing Excel-based evaluations into professional, scalable programming solutions (Python, R, C++) Building a sustainable data architecture for linking all practical systems Evaluation and integration of cloud services for backup, collaboration and computing capacity Development of high-performance analysis pipelines for large volumes of data IT Security & Privacy Implementation of IT security principles in the medical environment (access controls, encryption, audit trails) Ensuring GDPR compliance in data processing and storage Concept of secure interfaces between internal and external systems Documentation and maintenance of safety guidelines Technology stack Programming & analysis Python (Pandas, NumPy, SciPy, Selenium) R for statistical analyses PHP for web applications SQL/MySQL for database queries C++ for performance-critical calculations Development Tools & Workflow Git/GitHub for version control Docker for containerized applications VS Code, PyCharm or comparable IDEs Jupyter Notebooks for explorative analyses Cloud & Infrastructure Cloud services (AWS, Azure or Google Cloud) Basic Linux knowledge (Server, Bash) Backup and disaster recovery solutions Web & Automation HTML, CSS, JavaScript Selenium for browser automation REST APIs for System Integration

Education Studies or training in computer science, medical informatics, business informatics, physics, mathematics or comparable qualification Also welcome dedicated cross-comers with demonstrable programming skills Technical knowledge Knowledge of Python, R, SQL/MySQL, PHP, JavaScript, API Development, XML Data Processing Experience with version control (Git) Basic knowledge of statistics and data management, analysis Knowledge of cloud services and containerized environments desirable Understanding IT Security and Data Protection (GDPR) Knowledge of higher mathematics (algebra, vector refraction, geometry) and optics welcome Personal competencies Analytical thinking and joy in solving problems Ability to understand both business and scientific requirements Self-employed, structured work Willingness to incorporate medical topics (Ophthalmology, Optics) Communication strength in handling clinical personnel Conditions Team: Existing IT team focusing on hardware, network technology and medical technology/peripheral devices. You complement this team with software development, data analysis and system integration. Small, interdisciplinary structure (direct exchange with practical management and medical staff) Working time: full time or part time possible, flexible time salary: very attractive, above-average remuneration (depending on qualifications and experience) (parttime proportionate) Place of work: On site in practice (office workstation in Gießen) with home office share by arrangement

Versatile Area of Task at the Interface of Medicine, IT and Science Equivalent integration in practical optimization and research projects Possibility of scientific publication (co-authorship) Design space when building a modern data infrastructure Introduction to ophthalmological and economic foundations Short decision-making, direct cooperation with the practical management Further training