Principal Software Engineer, medical Imaging

We're on a mission to change the future ofclinical research. At Perceptive, we help thebiopharmaceutical industry bring medicaltreatments to the market, faster.Our mission is to change the worldbut to do this, we need people like you.Apart from job satisfaction, we can offer you:HEALTH: - Medical plan for you and your dependents. - Personal Accident Insurance- Life Insurance- Critical illness coverWEALTH: - Salary structure and Flexi basket- Provident fund of 12%- Gratuity scheme YOURSELF: Internal growth and development programs & trainingsKey Responsibilities:Supporting ActivitiesCloud-Native SaaS Architecture DesignDesign and implement scalable, multi-tenant SaaS architectures using cloud-native services.Architect microservices-based systems optimized for medical imaging data processing and AI workloads.Implement auto-scaling, load balancing, and distributed computing strategies for handling large medical imaging datasets.Design secure API-first services for seamless integration with clinical trial systems.Ensure platform scalability to support multiple concurrent clinical trials and imaging workflows.AI-Driven Medical Imaging Platform DevelopmentLead the integration of AI/ML models for medical image analysis, including genAI, agentic ai, computer vision and deep learning algorithms.Design and implement systems for real-time and batch processing of medical imaging data (DICOM, NIfTI, etc.).Design and implement DICOM-compliant data processing pipelines.Design and implement efficient DICOM image preprocessing workflows.Support deployment and monitoring in production environments.Medical Image Viewer Integration & Workflow DesignArchitect and implement integration layers for third-party medical imaging viewers (OHIF, , or proprietary systems).Design and Implement APIs and SDKs for seamless integration with existing clinical trial management systems.Implement real-time collaboration features for multi-site clinical trials.Develop custom visualization tools for AI-generated insights and annotations.Ensure cross-platform compatibility and responsive design for various devices and browsers.Regulatory Compliance & Security ArchitectureDesign and implement systems compliant with FDA 21 CFR Part 11, GxP, HIPAA, and international medical device regulations.Implement comprehensive audit trails, electronic signatures, and data integrity controls.Architect security frameworks including encryption at rest and in transit, role-based access control, and secure authentication.Design disaster recovery and business continuity solutions for critical clinical trial data.Ensure compliance with medical data privacy regulations across multiple jurisdictions.Database & Data Architecture for Medical ImagingDesign high-performance database architectures optimized for medical imaging metadata and AI model outputs.Implement solutions for the storage, analysis, access, and movement of large-scale medical imaging datasets.Design efficient data partitioning and indexing strategies for multi-dimensional medical data.Architect real-time data streaming solutions for live imaging analysis.Implement data governance frameworks ensuring data quality and lineage tracking.Performance Optimization & MonitoringDesign and implement comprehensive monitoring and observability solutions for SaaS platform performance.Optimize system performance for large medical imaging secure file processing and transfer.Implement caching strategies and CDN solutions for global clinical trial site access.Establish SLAs and implement automated alerting systems for platform reliability.Technical LeadershipEngage in technical decisions on technology stack selection for medical imaging and AI workloads, in collaboration with Solution Architect.Mentor team members to foster their professional, technical, and domain growth and development.Establish and enforce coding standards, development processes, and quality assurance practices via code reviews, inspection, and discussion.Join technical architecture reviews and provide guidance on complex system design decisions.Lead by example, demonstrating strong technical leadership skills and fostering a collaborative and innovative team environment.InnovationDrive adoption of emerging technologies in medical imaging, AI/ML, and cloud computing.Monitor the market to gather intelligence on emerging technologies.Share knowledge and insights with others.OtherCarryout any other reasonable duties as requested.Functional Competencies (Technical Knowledge/Skills):Deep understanding of DICOM standard implementation, including DICOM conformance statements and IHE integration profilesUnderstanding of medical imaging modalities (CT, MRI, X-Ray, PET, Ultrasound) and their specific DICOM implementationsKnowledge of message queuing systems for high-throughput medical data processingKnowledge of clinical trial processes, regulatory requirements, and quality management systemsFamiliarity with AI applications in medical imaging (computer-aided diagnosis, image segmentation, etc.) using DICOM datasetsKnowledge of containerization and serverless architecturesProficiency in designing and implementing APIs (e.g. RESTful, GraphQL) and real-time communication protocolsAdvanced-level knowledge of DICOM networking protocols (DICOM C-STORE, C-FIND, C-MOVE) and DICOMweb servicesKnowledge and experience with enabling AI/ML solutions within imaging platforms, as well as MLOps practicesAdvanced knowledge of security frameworks, encryption, and identity management solutionsUnderstanding of medical imaging modalities (CT, MRI, X-Ray, PET, Ultrasound) and imaging clinical workflowsKnowledge of clinical trial processes, regulatory requirements, and quality management systemsFamiliarity with AI applications in medical imaging (computer-aided diagnosis, image segmentation, etc.)Excellent technical leadership and mentoring capabilitiesStrong stakeholder management skills with ability to communicate complex technical concepts to product and business teamsExperience leading cross-functional teams in regulated environmentsProven ability to balance technical excellence with business objectives and regulatory requirementsBehavior Competencies:AccountabilityAdaptabilityCustomer focusRobustDecision MakingBusiness AcumenResults orientationTime ManagementWillingness to learnTeam collaborationExperience, Education and Certifications:Deep and wide-ranging post-qualification software development expertise, with leadership in complex projects involving medical imaging or healthcare technologyDeep expertise in cloud platforms with a strong understanding of serverless and scalable architectures, modern cloud-native services, and integration with AI/ML servicesExperience with DICOM image processing workflows, anonymization techniques, and metadata preservationExperience with medical image viewer technologies, PACS integration, and DICOM routing workflowsExperience with medical imaging standards (DICOM, HL7 FHIR) and specialized DICOM processing libraries (pydicom, DCMTK, GDCM)Extensive experience with DICOM standard implementation, including DICOM parsing libraries, tag manipulation, and compliance validationExpertise in database design for both relational and NoSQL systemsProven experience designing and developing cloud-native SaaS platforms at enterprise scaleDemonstrated experience with AI/ML integration in production environments, preferably in medical imagingExperience with regulated software development (FDA, GxP, ISO and validation processesStrong background in medical imaging file formats, processing libraries, and viewer integrationsExperience with clinical trial management systems and electronic data capture (EDC) platformsAdvanced proficiency in Java, Python, or C# for backend developmentExperience with modern frontend frameworks (React, Angular) for medical imaging applicationsHands-on experience with cloud services: compute, storage, databases, AI/ML services, and monitoring toolsExperience with CI/CD pipelines, infrastructure as code, and DevOps practicesExperience with monitoring and observability toolsExperience with medical image viewer technologies and PACS integrationBachelor's Degree (Master's or PhD's preferred) in Computer Science, Biomedical Engineering, Software Engineering, or related technical disciplineAdditional certifications in cloud platforms preferredMedical device software development training or certification preferredEnglish: FluentCome as you are.We're proud to be a Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.