Software Engineers, Medical Imaging - Remote Eligible

Perceptive Clinical Research Software Developer

We're on a mission to change the future of clinical research. At Perceptive, we help the biopharmaceutical industry bring medical treatments to the market, faster.

Key Responsibilities:

Supporting Activities

• 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.

AI-Driven Medical Imaging Platform Development

• Implement AI/ML model integrations for medical image analysis, including genAI, computer vision and deep learning algorithms.
• Develop systems for real-time and batch processing of medical imaging data (DICOM, NIfTI, etc.).
• Implement DICOM-compliant data processing pipelines.
• Develop efficient DICOM image preprocessing workflows for AI model preparation.
• Support AI model deployment and monitoring in production environments.

Medical Image Viewer Integration & Workflow Design

• Develop integration components for third-party medical imaging viewers (OHIF, Cornerstone.js, or proprietary systems).
• 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.

Security & Compliance Implementation

• Implement security features compliant with FDA 21 CFR Part 11, GxP, and medical device regulations.
• Develop audit trails, electronic signatures, and data integrity controls.
• Implement encryption, role-based access control, and authentication features.
• Support disaster recovery and backup solutions for clinical trial data.

Database & Data Management

• Implement high-performance database solutions for DICOM metadata storage and retrieval and AI model outputs.
• Develop solutions for the storage, analysis, access, and movement of large-scale medical imaging datasets.
• Implement data processing pipelines for large-scale DICOM datasets.
• Develop real-time data streaming components for live DICOM image analysis.
• Implement data governance features ensuring data quality and privacy protection.

Performance Optimization & Monitoring

• Implement monitoring and observability components for SaaS platform performance.
• Optimize system performance for medical imaging file processing and transfer.
• Implement caching strategies and CDN integration for global access.
• Develop automated alerting and performance monitoring features.
• Support SLA compliance and platform reliability initiatives.

Technical Development & Support

• Contribute to technology stack decisions for medical imaging and AI workloads.
• Support adoption of emerging technologies in medical imaging and AI/ML.
• Participate in code reviews and maintain development best practices.
• Support coding standards, development processes, and quality assurance.
• Collaborate in technical architecture reviews and system design decisions.

Innovation

• Take an active interest in 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.

Other

• Carry out any other reasonable duties as requested.

Functional Competencies (Technical knowledge/Skills)

• 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 (computer-aided diagnosis, image segmentation, etc.)
• 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

Behavior Competencies

• Accountability
• Adaptability
• Customer focus
• Robust
• Decision Making
• Business Acumen
• Results orientation
• Time Management
• Willingness to learn
• Team collaboration

Experience, Education and Certifications

• 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