Software Engineer

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

Are you passionate about building technology that makes a real difference in healthcare? As a Software Engineer in Medical Imaging at Perceptive, you'll help shape the future of clinical trials by developing secure, scalable, and cloud-native solutions powered by AI. Work alongside experts in medical imaging, clinical research, and cutting-edge technology to deliver innovative platforms that improve patient outcomes worldwide.

If you're eager to learn, excited by complex challenges, and ready to contribute to the next wave of medical imaging advancements, we want you on our team

Location: India

Type: Full-time | Hybrid (Hyderabad) or Remote

Team: Imaging Technology - Engineering & Architecture

Job Purpose

As a Software Engineer in Medical Imaging, you'll harness the power of AI to help design and develop scalable, secure, and compliant cloud-native solutions that transform clinical trial imaging workflows. You'll create innovative solutions for cloud-native architectures, DICOM image processing, AI/ML integrations, and regulatory compliance, all while driving progress in medical imaging technology.

Key Responsibilities

Cloud-Native SaaS Architecture Design

• Develop scalable SaaS components using cloud-native services.
• Implement microservices components for medical imaging data processing.
• Build API endpoints and service integrations under supervision.
• Support platform features for clinical trials and imaging workflows.
• Assist in implementing auto-scaling and load balancing features.

AI-Driven Medical Imaging Platform Development

• Implement AI/ML model integration components under guidance.
• Develop processing modules for medical imaging data (DICOM, NIfTI, etc.).
• Build DICOM-compliant data processing components.
• Implement DICOM image preprocessing modules.
• Support AI model deployment and basic monitoring tasks.

Medical Image Viewer Integration & Workflow Design

• Develop components for medical imaging viewers (OHIF, ).
• Implement API components for clinical trial system integration.
• Build user interface components for medical imaging applications.
• Create basic visualization components for AI-generated insights.
• Implement responsive design features for cross-platform compatibility.

Security & Compliance Implementation

• Implement security features following FDA 21 CFR Part 11, and GxP guidelines.
• Develop audit trail components and data integrity features.
• Implement authentication and authorization modules.
• Build encryption and role-based access control features.
• Support backup and recovery solution development.

Database & Data Management

• Implement database solutions for DICOM metadata management.
• Develop DICOM tag processing and query components.
• Build data processing modules for DICOM datasets.
• Implement data streaming components for image analysis.
• Develop data validation and quality control features.

Performance Optimization & Monitoring

• Implement monitoring components for platform performance.
• Optimize code for medical imaging file processing.
• Build caching mechanisms and performance optimization features.
• Implement alerting and logging components.
• Support platform reliability and SLA compliance initiatives.

Technical Development & Learning

• Implement features following technology stack guidelines.
• Learn and apply emerging technologies in medical imaging and AI/ML.
• Participate actively in code reviews and follow development best practices.
• Follow coding standards and quality assurance processes.
• Support technical documentation and system maintenance tasks.

Innovation

• Monitor the market to gather intelligence on emerging technologies.
• Share knowledge and insights with others.

Technical Knowledge and Skills

• Basic understanding of DICOM standard and medical imaging workflows
• Awareness of DICOM image processing and metadata handling
• Understanding of medical imaging modalities and their basic implementations
• Basic knowledge of clinical trial processes and regulatory compliance
• Willingness to learn medical image viewer technologies and PACS integration
• Interest in AI applications in medical imaging using DICOM datasets
• Working knowledge of cloud platforms and basic AI/ML services
• Foundational knowledge of containerization (Docker, Kubernetes) and cloud architectures
• Ability to develop RESTful APIs and basic real-time communication protocols
• Basic knowledge of security frameworks and authentication mechanisms
• Basic knowledge of message queuing systems for data processing
• Basic understanding of medical imaging modalities (CT, MRI, X-Ray, PET, Ultrasound)
• Awareness of clinical trial processes and regulatory requirements
• Basic knowledge of medical image viewer technologies
• Interest in AI applications in medical imaging
• Good communication skills with ability to work in cross-functional teams
• Willingness to learn technical concepts and domain knowledge
• Ability to work in regulated environments under guidance
• Understanding of balancing technical and business requirements

Behavioural Competencies

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

Experience, Education, and Certifications

• Proven post-qualification software development experience, including meaningful contributions to projects in healthcare technology or related domains
• Experience developing cloud-based applications or SaaS components
• Basic experience with AI/ML integration or willingness to learn
• Awareness of regulated software development processes (FDA, GxP)
• Experience with medical imaging file formats or willingness to learn
• Exposure to clinical systems or electronic data capture platforms
• Proficiency in Java, Python, or C# for backend development
• Experience with modern frontend frameworks (React, Angular) or willingness to learn
• Basic experience with cloud services: compute, storage, databases
• Understanding of CI/CD pipelines and DevOps practices
• Experience with monitoring and logging tools
• Experience with medical imaging standards (DICOM, HL7 FHIR) and basic DICOM processing
• Basic experience with DICOM standard implementation and DICOM parsing libraries as well as DICOM networking protocols and DICOMweb services
• Exposure to AI/ML solutions and basic MLOps concepts
• Experience with database development for relational and NoSQL systems
• 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 preferred
• English: Fluent

Come as you are.

We're proud to be a Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, 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.