Science manager f m x állások, munkák adatbázisszakértő kategóriában

• Act as the primary point of contact for trial-related data management activities
• Develop and maintain study documentation, including mock CRFs, data management plans, and trial-specific instructions
• Build and amend databases, prepare data transmission agreements, and maintain studies in EDC systems

• Design, develop and maintain data pipelines and workflows to handle large volumes of data
• Ensure data quality, reliability and scalability
• Optimize query performance
• Develop and maintain data models and schema definitions

• Tömeges adatok tisztítása, frissítése, leválogatása
• Munkafolyamatok és automatizált folyamatok tervezése és implementálása
• Adatbázisok létrehozása és menedzselése különböző üzleti folyamatokhoz
• Adatbázis-kezelő eszközök és folyamatok tesztelése és értékelése
• Adatbázisok elemzése és jelentések készítése

- Data and Systems Management: Take ownership of managing and maintaining the school’s core educational information systems (e.g. Google Workspace, iSAMS, Toddle), ensuring that student and academic data are accurate, consistent, and up to date. Work closely with teachers, leaders, and the IT...

• Own ERP processes and master-data governance: define policies, ensure compliance with FDA, MDR, ISO, and internal standards.
• Act as ERP expert: configure workflows, resolve issues, implement improvements, and audit data accuracy.

• Design, implement, and manage applications in the energy sector, with focus on trading and scheduling tools
• Partner with trading department to understand business needs and challenges, and propose innovative solutions leveraging your technical expertise

• Work on potential AI and/or digital twin features for future medical devices
• Design solutions for computer vision problems towards advanced biomedical visualisations
• Evaluate and refine your approach on real-world data

• Servant leader for java development, especially for health data management platforms
• Refine technical specifications & dependencies with architects and align with connected products
• Highlight and address technical dept and focus on continuous improvement

Own the Data Science behind our business steering: Unite isolated ML models into a single decision layer that powers budget allocation and conversion rate optimization, creating bottom‑line impact worth millions....

• Develop and optimize end-to-end pricing strategies, including algorithm development, implementation, and continuous performance monitoring
• Design and execute complex pricing experiments and A/B tests, analyzing results and providing strategic recommendations to leadership

• Develop and maintain high-performance software solutions using modern C++ to enable quality assurance in near-production industrial environments
• Collaborate with dynamic and highly motivated agile teams to provide robust workflows for optical, surface, and X-ray metrology

• You develop and operate scalable, secure, and high-performance AI platforms in modern cloud environments.
• Additionally, you support the entire AI lifecycle - from data preparation through development and training to the productive operation of machine learning and generative AI solutions.

• Design, optimize, and maintain high-performance databases, data pipelines, and APIs for suena's energy trading and analytics platform.
• Model complex time-series data, enable robust integrations with modelling and data science teams, and ensure data reliability and scalability.

• Familiarize with the state-of-the-art in pose estimation and tracking applications
• Development of the hardware experimental setup based on the use-case
• Implementation of prototype solutions relying on methods from both geometric and/ or deep learning methods in computer vision and robotics

• You build and adapt large language, reasoning, and multimodal models for automation across engineering, manufacturing, and robotics.
• In addition, you create data flywheels and scalable data pipelines, define and curate high-quality fine-tuning datasets, and design efficient annotation workflows.