Senior Software Engineer, Medical Imaging

This is a fully remote position, open to applicants in India.

📋 Description

• Develop scalable, multi-tenant SaaS components utilizing cloud-native services.

• Design and construct microservices for processing medical imaging data and AI workloads.

• Implement features for auto-scaling and load balancing for medical imaging datasets.

• Create API endpoints and integrate services with clinical trial systems.

• Enhance platform scalability to accommodate concurrent clinical trials and imaging workflows.

• Integrate AI/ML models for medical image analysis, including generative AI, computer vision, and deep learning algorithms.

• Build real-time and batch processing systems for medical imaging data formats like DICOM and NIfTI.

• Develop DICOM-compliant data processing pipelines and preprocessing workflows.

• Facilitate the deployment and monitoring of AI models in production environments.

• Create integration components for third-party medical imaging viewers such as OHIF and Cornerstone.js.

• Develop APIs and SDK components for integration with clinical trial management systems.

• Establish collaboration features for multi-site clinical trials.

• Create visualization components for insights and annotations generated by AI.

• Ensure responsive design implementations across various devices and browsers.

• Implement security measures that comply with FDA 21 CFR Part 11, GxP, and medical device regulations.

• Develop audit trails, electronic signatures, data integrity controls, encryption, role-based access control, and authentication features.

• Support disaster recovery and backup solutions for clinical trial data.

• Establish high-performance databases for DICOM metadata and outputs from AI models.

• Create storage, analysis, access, and movement solutions for extensive medical imaging datasets.

• Implement real-time data streaming components for live analysis of DICOM images.

• Enforce data governance features to ensure data quality and privacy protection.

• Develop monitoring and observability components to assess SaaS platform performance.

• Optimize the performance of medical imaging file processing and transfer.

• Implement caching strategies and integrate CDNs for global accessibility.

• Create automated alerting and performance monitoring features.

• Support compliance with SLAs and initiatives for platform reliability.

• Contribute to decisions regarding the technology stack for medical imaging and AI workloads.

• Engage in code reviews, architecture reviews, system design decisions, and quality assurance processes.

• Promote the adoption of emerging technologies in medical imaging and AI/ML.

• Monitor advancements in technology, gather market insights, and share knowledge.

• Perform other reasonable duties as assigned.

⛳️ Requirements

• Extensive post-qualification experience in software development, particularly in delivering solutions for medical imaging or healthcare technology.

• Proven experience in developing cloud-native applications and SaaS components.

• Familiarity with AI/ML integration within production environments, ideally within medical imaging.

• Experience with regulated software development processes (FDA, GxP, ISO 13485).

• Knowledge of medical imaging file formats, processing libraries, and viewer integrations.

• Experience working with clinical trial management systems or electronic data capture (EDC) platforms.

• Strong expertise in cloud platforms, with a solid understanding of serverless and scalable architectures, modern cloud-native services, and AI/ML service integration.

• Proficiency in developing RESTful APIs, GraphQL, and real-time communication protocols.

• Familiarity with medical imaging standards (DICOM, HL7 FHIR) and DICOM processing libraries (pydicom, DCMTK, GDCM).

• Experience in implementing DICOM standards, encompassing DICOM parsing libraries and tag manipulation.

• Exposure to AI/ML solutions within imaging platforms and MLOps practices.

• Background in database design for both relational and NoSQL systems.

• Experience with technologies related to medical image viewers and PACS integration.

• Familiarity with working in regulated environments.

• Knowledge of DICOM image processing workflows, anonymization methods, and metadata preservation.

• Proficiency in Java, Python, or C# for backend development.

• Understanding of containerization and serverless architectures.

• Knowledge of message queuing systems for processing high-throughput medical data.

• Familiarity with DICOM networking protocols (DICOM C-STORE, C-FIND, C-MOVE) and DICOMweb services.

• Understanding of security frameworks, encryption, and identity management solutions.

• Familiarity with medical imaging modalities (CT, MRI, X-Ray, PET, Ultrasound) and clinical workflows.

• Knowledge of clinical trial processes, regulatory requirements, and quality management systems.

• Awareness of AI applications in medical imaging, such as computer-aided diagnosis and image segmentation.

• Understanding of DICOM standard implementation, including DICOM conformance statements and IHE integration profiles.

• Strong technical communication skills with the ability to collaborate effectively in cross-functional teams.

• Ability to articulate technical concepts to clinical and business stakeholders.

• Capacity to balance technical requirements with business objectives.

🏝️ Benefits

• Comprehensive medical plan for you and your dependents.

• Personal Accident Insurance.

• Life Insurance coverage.

• Critical illness insurance.

• Competitive salary structure with a Flexi basket.

• Provident fund contribution of 12%.

• Gratuity scheme.

• Opportunities for internal growth and development programs & training.