OHIF, Senior Software Engineer, Medical Imaging

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

HEALTH

• Medical plan for you and your dependents.
• Personal Accident Insurance
• Life Insurance
• Critical illness cover

WEALTH

• Salary structure and Flexi basket
• Provident fund of 12%
• Gratuity scheme

YOURSELF

Internal growth and development programs & trainings

Key Responsibilities

Supporting Activities

Cloud-Native SaaS Architecture Design

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

Carryout 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

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

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

Familiarity with AI applications in medical imaging using DICOM datasets

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