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Remote (UK), United Kingdom
Remote only
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.
Our mission is to change the world
but to do this, we need people like you.
Apart from job satisfaction, we can offer you:
YOURSELF
• 25 days’ holiday (with the option to buy more)
HEALTH
• Health Cash Plan
• Optional private health, dental insurance, and health screens
• Cycle to work scheme
WEALTH
• Generous pension scheme with up to 10% employer contribution
• Life assurance
• Season ticket loan
About the role
As Application Architect, Medical Imaging, your primary goal will be to conceptualize and guide the creation of advanced, cloud-native platforms which harness artificial intelligence to revolutionize medical imaging within clinical research.
Working remotely in the UK, in this newly created role you'll deploy your combination of architectural experience and deep medical imaging domain knowledge to ensure that solutions are designed to meet the evolving needs of clinical trials, balancing innovation, scalability, security and regulatory compliance. Critically, you'll act as a bridge between the architectural vision and the hands-on engineering work that brings these solutions to life.
Technical Requirements Definition and Management
Collaborate closely with Product Managers and Product Owners to refine and clarify business features and requirements, ensuring alignment with organizational goals and end-user needs.
Translate high-level business requirements into clear, actionable technical specifications and architectural enablers, maintaining traceability throughout the development lifecycle.
Advocate for standards-driven solutions by integrating best practices and architectural principles into requirements definition, reducing technical debt and ensuring scalability.
Document and communicate requirements in a structured manner to guide development efforts, validate solution fit, and support ongoing change management.
Create Architectural Enablers as required to ensure business requirements are fully and all dependencies are defined and considered.
Cloud-Native SaaS Architecture Design
Design, document, and communicate scalable, multi-tenant SaaS architectures using cloud-native services, selecting technology components and design patterns.
Architect and document microservices-based systems optimized for medical imaging data processing and AI workloads.
Analyse requirements and produce specifications to ensure solutions will have appropriate auto-scaling, load balancing, and distributed computing strategies for handling large medical imaging datasets.
Design and document secure API-first services for seamless integration with clinical trial systems.
Ensure platform scalability to support multiple concurrent clinical trials and imaging workflows.
Document design decisions and low-level designs following the C4 model.
AI-Driven Medical Imaging Platform Development
Define the integration approach of AI/ML models for medical image analysis, including genAI, agentic ai, computer vision and deep learning algorithms.
Create low-level designs which enable the real-time and batch processing of medical imaging data (DICOM, NIfTI, etc.).
Scope and design efficient DICOM image pre-processing workflows.
Medical Image Viewer Integration & Workflow Design
Architect integration layers for third-party medical imaging viewers (OHIF, Cornerstone.js, or proprietary systems).
Design and agree APIs and SDKs for seamless integration with existing clinical trial management systems.
Ensure designs are cross-platform compatible and will provide a responsive design for various devices and browsers.
Regulatory Compliance & Security Architecture
Design systems compliant with FDA 21 CFR Part 11, GxP, HIPAA, and international medical device regulations.
Create strategies and designs which will lead to the implementation of 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 Imaging
Design high-performance database architectures optimized for medical imaging metadata and AI model outputs.
Perform analysis of business features to create and maintain both logical and physical data models.
Design solutions which enable 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 & Monitoring
Design comprehensive monitoring and observability strategies for SaaS platform performance.
Optimize system performance for large medical imaging secure file processing and transfer.
Establish SLAs and implement automated alerting systems for platform reliability.
Technical Leadership
Engage 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.
Ensure development is in line with design 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.
Innovation
Drive 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.
Other
Work collaboratively with relevant stakeholders.
Mentor engineering teams on best practice in cloud architecture and security and medical imaging standards.
Continuously evaluating new technologies and recommending improvements to enhance the platform’s architecture and capabilities.
Knowledge of containerization and serverless architectures
Deep understanding of DICOM standard implementation, including DICOM conformance statements and IHE integration profiles
Advanced-level knowledge of DICOM networking protocols (DICOM C-STORE, C-FIND, C-MOVE) and DICOMweb services
Knowledge and experience with enabling AI/ML solutions within imaging platforms, as well as MLOps practices
Advanced knowledge of security frameworks, encryption, and identity management solutions
Understanding of medical imaging modalities (CT, MRI, X-Ray, PET, Ultrasound) and imaging clinical workflows
Knowledge of clinical trial processes, regulatory requirements, and quality management systems
Excellent technical leadership and mentoring capabilities
Strong stakeholder management skills with ability to communicate complex technical concepts to product and business teams
Proven ability to balance technical excellence with business objectives and regulatory requirements
Understanding of medical imaging modalities (CT, MRI, X-Ray, PET, Ultrasound) and their specific DICOM implementations
Knowledge of clinical trial processes, regulatory requirements, and quality management systems
Knowledge of message queuing systems for high-throughput medical data processing
Ability to architect scalable and fault-tolerant distributed systems for high-throughput medical data management
Deep 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 designing and implementing APIs (e.g. RESTful, GraphQL) and real-time communication protocols
Experience 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 validation
Expertise in database design for both relational and NoSQL systems
Comprehensive experience in DevOps methodologies, including CI/CD pipeline automation and infrastructure as code
Strong background in software testing, validation, and quality assurance for regulated medical systems
Experience with medical image viewer technologies and PACS integration
Familiarity with AI applications in medical imaging (computer-aided diagnosis, image segmentation, etc.)
Experience leading cross-functional teams in regulated environments
Deep and wide-ranging post-qualification architecture development expertise, with leadership in complex projects involving medical imaging or healthcare technology
Proven experience designing and developing cloud-native SaaS platforms at enterprise scale
Demonstrated experience with AI/ML integration in production environments, preferably in medical imaging
Experience with regulated software development (FDA, GxP, ISO 13485) and validation processes
Strong background in medical imaging file formats, processing libraries, and viewer integrations
Experience with clinical trial management systems and electronic data capture (EDC) platforms
Experience with DICOM image processing workflows, anonymization techniques, and metadata preservation
Experience with medical image viewer technologies, PACS integration, and DICOM routing workflows
Familiarity with AI applications in medical imaging (computer-aided diagnosis, image segmentation, etc.) using DICOM datasets
Advanced proficiency in Java, Python, or C# for backend development
Experience with modern frontend frameworks (React, Angular) for medical imaging applications
Hands-on experience with cloud services: compute, storage, databases, AI/ML services, and monitoring tools
Experience with CI/CD pipelines, infrastructure as code, and DevOps practices
Experience with monitoring and observability tools
Proficiency in developing and deploying microservices architectures in cloud-based environments
Bachelor's Degree (Master's or PhD’s preferred) in Computer Science, Biomedical Engineering, Software Engineering, or related technical discipline
Additional certifications in cloud platforms (or be prepared to gain qualifications)
Medical device software development training or certification preferred
English: Fluent
Come as you are.
We're proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, colour, 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.
