Senior Software Engineer, Medical Imaging

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🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 10%

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Perceptive Inc.

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Perceptive Inc. is a leading provider of scientific and data-driven solutions for the bio-pharmaceutical industry, focusing on oncology, central nervous system (CNS) therapeutic areas, and musculoskeletal imaging. With expertise in drug discovery, preclinical and early clinical imaging, and radiochemistry, Perceptive offers services that identify promising candidate compounds and mitigate risks through premier imaging services. It also provides comprehensive eClinical solutions, including Randomization and Trial Supply Management (RTSM), aimed at optimizing clinical trial processes. Trusted for its high-quality data, Perceptive serves as a partner in advancing clinical trials and bringing essential treatments to patients faster, backed by over 50 years of experience and a team of dedicated experts. Perceptive's global presence ensures seamless delivery of Discovery, eClinical, and Imaging services to support worldwide clinical trials.

📋 Description

• Implement scalable, multi-tenant SaaS components using cloud-native services. • Design and develop microservices for medical imaging data processing and AI workloads. • Implement auto-scaling and load balancing features for medical imaging datasets. • Develop API endpoints and service integrations with clinical trial systems. • Support platform scalability for concurrent clinical trials and imaging workflows. • Implement AI/ML model integrations for medical image analysis, including genAI, computer vision and deep learning algorithms. • Develop real-time and batch processing systems for medical imaging data such as DICOM and NIfTI. • Implement DICOM-compliant data processing pipelines and preprocessing workflows. • Support AI model deployment and monitoring in production environments. • Develop integration components for third-party medical imaging viewers including OHIF and Cornerstone.js. • Implement APIs and SDK components for clinical trial management system integration. • Develop collaboration features for multi-site clinical trials. • Create visualization components for AI-generated insights and annotations. • Ensure responsive design implementation for various devices and browsers. • Implement security features compliant 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. • Implement high-performance databases for DICOM metadata and AI model outputs. • Develop storage, analysis, access, and movement solutions for large-scale medical imaging datasets. • Implement real-time data streaming components for live DICOM image analysis. • Implement data governance features ensuring data quality and privacy protection. • Implement monitoring and observability components for SaaS platform performance. • Optimize medical imaging file processing and transfer performance. • Implement caching strategies and CDN integration for global access. • Develop automated alerting and performance monitoring features. • Support SLA compliance and platform reliability initiatives. • Contribute to technology stack decisions for medical imaging and AI workloads. • Participate in code reviews, architecture reviews, system design decisions, and quality assurance. • Support adoption of emerging technologies in medical imaging and AI/ML. • Monitor emerging technologies, gather market intelligence, and share knowledge. • Carry out other reasonable duties as requested.

🎯 Requirements

• Substantial post-qualification software development experience, with a strong track record of delivering solutions in medical imaging or healthcare technology • Experience developing cloud-native applications and SaaS components • Experience with AI/ML integration in production environments, preferably in medical imaging • Experience with regulated software development (FDA, GxP, ISO 13485) processes • Background in medical imaging file formats, processing libraries, and viewer integrations • Experience with clinical trial management systems or electronic data capture (EDC) platform • Solid expertise in cloud platforms with a strong understanding of serverless and scalable architectures, modern cloud-native services, and integration with AI/ML services • Proficiency in developing RESTful APIs, GraphQL, and real-time communication protocols • Experience with medical imaging standards (DICOM, HL7 FHIR) and DICOM processing libraries (pydicom, DCMTK, GDCM) • Experience with DICOM standard implementation, including DICOM parsing libraries and tag manipulation • Exposure to AI/ML solutions within imaging platforms, as well as MLOps practices • Experience in database design for both relational and NoSQL systems • Experience with medical image viewer technologies and PACS integration • Experience working in regulated environments • Experience with DICOM image processing workflows, anonymization techniques, and metadata preservation • Experience with medical image viewer technologies, PACS integration, and DICOM routing workflows • Proficiency in Java, Python, or C# for backend development • Knowledge of containerization and serverless architectures • Knowledge of message queuing systems for high-throughput medical data processing • Knowledge of DICOM networking protocols (DICOM C-STORE, C-FIND, C-MOVE) and DICOMweb services • Knowledge of security frameworks, encryption, and identity management solutions • Understanding of medical imaging modalities (CT, MRI, X-Ray, PET, Ultrasound) and clinical workflows • Knowledge of clinical trial processes, regulatory requirements, and quality management systems • Familiarity with AI applications in medical imaging, including computer-aided diagnosis and image segmentation • Understanding of DICOM standard implementation, including DICOM conformance statements and IHE integration profiles • Good technical communication skills with ability to work effectively in cross-functional teams • Ability to communicate technical concepts to clinical and business stakeholders • Ability to balance technical requirements with business objectives

🏖️ Benefits

• Medical plan for you and your dependents. • Personal Accident Insurance • Life Insurance • Critical illness cover • Salary structure and Flexi basket • Provident fund of 12% • Gratuity scheme • Internal growth and development programs & trainings