Founded in 2020 and headquartered in Munich Snke is transforming healthtech with scalable data-driven innovation powered by AI and big data analytics. We're experts specializing in large platforms digital health and software-driven medical technology. By delivering a trusted orchestration layer Snke empowers healthcare providers societies registries agencies and all partners to deploy cutting-edge solutions for safe and efficient interventions and enhances patient outcomes. Beyond our Munich headquarters we have core teams in Chicago Heidelberg San Diego and Tel Aviv. Snke fosters global collaboration to create technologies that are smart enabling and holistic-helping healthcare providers deliver meaningful change. As a Project Engineer for Healthcare Data Modelling you will fill our data ecosystem with life and create solutions together with our cross-functional teams and customers. You will be part of a growing interdisciplinary team that creates a patient-privacy-centered ecosystem for data-driven healthcare and rethinks all aspects from data capture and visualization to analysis. You will play a central role in a variety of projects focused on understanding client needs and for example define data collection protocols and develop FHIR questionnaires. Additionally you will ensure compliance with regulatory standards and apply agile methodologies to drive project success.
Work directly with clients to identify and document specific project requirements Conduct workshops and meetings to understand and define the client's needs and objectives Define protocols for data collection including developing and implementing efficient methods and ensuring compliance with legal regulatory and interoperability requirements Design complete FHIR-based data pipelines including creation and customization of questionnaires Develop concepts for integrating questionnaires and data models into existing client IT infrastructures Apply healthcare terminologies (FHIR DICOM SNOMED LOINC) to ensure interoperability and standardization of healthcare data (training and familiarization can be provided if required)
Completed training in the medical field health/medical informatics digital health computer science data science or comparable qualification (University degree is not necessarily required)
and knowledge in the area of data engineering data analytics or software engineering with special emphasis on healthcare terminologies are a plus Ability to translate complex contexts and solutions into clear and concise visions and strategies Analytical mindset and creativity to develop reliable solutions A well-organized efficient and clearly structured work style Outstanding presentation and communication skills in English and German Knowledge in product & requirements management
A supportive international team connected by shared values and a culture of trust Meaningful responsibilities with a lasting impact on global healthtech improving medical decisions and patient outcomes 30 vacation days plus December 24th and December 31st Flexible working hours and a hybrid work model within Germany Bike leasing via our partner “BikeLeasing” Parking garage and secure underground bike storage Subsidized company restaurant and in‑house café Urban Sports Club membership with employer contribution Regular after‑work team and company events Centrally located modern workspace with a 212 m² rooftop terrace Ready to apply? We look forward to receiving your online application including your first available start date.
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