Senior Data Engineer, Medical Imaging

h3Senior Data Engineer, Medical Imaging AI Platforms /h3pAt icometrix, we transform complex medical imaging data into actionable insights that improve patient care. Our AI-powered solutions support clinicians and researchers worldwide in neurological diseases such as multiple sclerosis, Alzheimer's disease, and other brain disorders. /ppAs we continue to scale our imaging and AI capabilities, we are looking for a Senior Data Engineer to build and maintain the next generation of clinical imaging data infrastructure that powers our products, research collaborations, and machine learning initiatives. /ppAs a Senior Data Engineer, you will design, develop, and maintain the data platforms that enable large-scale processing of multimodal neuroimaging and clinical datasets. /ppYou will work at the intersection of medical imaging, cloud infrastructure, AI, and software engineering, creating robust data pipelines that transform raw imaging data into high-quality datasets for product development and validation, scientific insights, and clinical deployment. /ppThis role requires both strong software engineering skills and a deep understanding of biomedical imaging data and clinical data, in particular in multiple sclerosis and Alzheimer’s disease. /ppWhat do we expect from you? /ph3Key Responsibilities /h3h3Data Engineering Automation : /h3ulliDevelop and scale robust ETL pipelines for clinical, imaging, and derived biomarker data. /liliCreate scalable workflows for large-scale data processing. /liliManage orchestration systems and workflow automation. /liliImprove monitoring, logging, and reliability of production data systems. /li /ulh3Imaging and Clinical Data Platforms in the Cloud : /h3ulliDesign and maintain scalable pipelines for combining imaging (mostly MRI) data with clinical or PRO data in the cloud environment. /liliDevelop automated workflows for ingestion, validation, quality control, anonymization, and processing of imaging and clinical data. /liliStandardize datasets using industry standards such as HL7 FIHR, DICOM, OMOP CDM, CDISC, RadElement /liliBuild infrastructure supporting reproducible image processing, biomarker extraction, and linking to clinical and PRO data. /li /ulh3AI Machine Learning Enablement : /h3ulliCollaborate with data scientists and AI engineers to create high-quality training datasets. /liliBuild feature stores and data versioning frameworks. /liliSupport development and deployment of machine learning solutions for clinical applications. /liliEnable reproducible research-to-product transitions. /li /ulh3Infrastructure Performance : /h3ulliOptimize computational workloads across cloud and high-performance computing environments. /liliManage large-scale storage solutions for medical imaging datasets. /liliImprove processing throughput and resource utilization. /liliContribute to cloud architecture and infrastructure automation. /li /ulh3Collaboration : /h3ulliWork closely with clinical scientists, data scientists, regulatory teams, and software engineers. /liliSupport external research collaborations with hospitals, universities, and industry partners. /liliMentor junior engineers and contribute to engineering best practices. /li /ulh3Required Qualifications /h3h3Education : /h3ulliMSc or PhD in Biomedical Engineering, Computer Science, Data Engineering, Bioinformatics, Medical Physics, or related field. /li /ulh3Technical

Skills:
/h3h3Strong experience in: /h3ulliPython /liliSQL and data modeling /liliLinux environments /liliData pipeline development /liliCloud platforms (AWS, Azure, or GCP) /liliContainerization (Docker) /liliWorkflow orchestration systems /liliGit and modern software development practices /li /ulh3Experience with at least several of: /h3ulliMedical imaging (MRI, CT, PET) /liliHL7 FIHR /liliDICOM /liliOMOP CDM /liliBIDS /liliMachine learning pipelines /liliHigh-performance computing (HPC) /liliREST APIs /liliData governance and quality control /liliScientific Python ecosystem /liliPowerBI /li /ulh3Preferred Qualifications /h3h3We are especially interested in candidates who have: /h3ulliExperience and interest in developing robust data pipelines. /liliExperience structuring large MRI datasets and clinical data. /liliWorked in academic-industry collaborations. /liliExperience with multimodal datasets combining imaging, biomarkers, and clinical outcomes. /liliExperience working in regulated healthcare environments. /liliExperience with neuroimaging research. /li /ulh3Ideal Candidate Profile /h3h3The ideal candidate is a technically strong engineer who: /h3ulliCombines software engineering rigor with scientific curiosity. /liliHas experience building data platforms rather than only analyzing data. /liliUnderstands the challenges of reproducibility in medical AI. /liliCan translate research prototypes into scalable production systems. /liliEnjoys collaborating with clinicians, scientists, and engineers. /liliTakes ownership of complex, multidisciplinary projects.