.You're one step closer to being part of the team.About MethinksMethinks vision is to provide universal and timely diagnosis for life-saving treatments worldwide. Our first focus is on stroke, the second cause of death and a major cause of disability in the world. Our product is an artificial intelligence medical imaging software capable of performing stroke triage and unlock stroke treatments potential from non-contrast CTs.Methinks is a VC backed digital health start-up that recently won the prestigious EIC Accelerator of the European Commission and has obtained two gold medals in the RSNA Kaggle competitions. The recent funding of the company will allow us to grow rapidly and we are looking for exceptional and passionate individuals to help us face these challenges and build together a unique company.Job SummaryJoin our dynamic and innovative startup as an R&D Data Specialist, where your expertise will directly shape our data operations. In this role, you'll design and manage key data pipelines, ensure accurate reporting, and support strategic decision-making with insightful analysis.If you're eager to play a critical role in shaping our startup's data strategy, this opportunity is for you.Duties and ResponsibilitiesCollaborate with the R&D team to design, develop, and maintain data pipelines (tabular and imaging data), primarily using Python.Maintain and improve our Data Warehouse, ensuring it is up-to-date with processed data.Execute data pipelines (ETLs) to efficiently select, process, and store incoming data.Coordinate radiologists involved in the data tagging process.Lead data analysis and reporting efforts to support R&D and decision-making.Optimize data infrastructure for enhanced performance and scalability.Perform real-time monitoring of data statistics to quickly detect and address issues.Contribute to best practices and data documentation to ensure smooth operations.Skills and QualificationsBachelor's degree in Computer Science, Engineering, or a related technical field.2+ years of experience working with data pipelines and data analysis using Python.Proficiency in Python.Proficiency in SQL and data modeling concepts.Strong analytical skills and problem-solving capabilities.Ability to work independently (important in a start-up environment).Keen interest in medical data and its clinical applications.Excellent communication and teamwork skills, with a proactive attitude.Eagerness to learn, adapt, and thrive in a fast-paced, innovative environment.Experience with imaging data: Particularly DICOM format.Understanding of basic statistical concepts, such as confidence intervals, AUC-ROC, sensitivity, specificity, and hypothesis testing.Experience with cloud platforms (e.G., AWS, GCP, Azure) and optimizing data infrastructure for enhanced performance and scalability.What can we offerAn opportunity to shape the data strategy of an award-winning Digital Health Start-Up