Software Developer - C .Net WPF

Job Title: Software Developer – Diagnostic Systems

Department: Research & Development – Diagnostics

Location: Vapi, Gujarat

Reports To: Software Lead / R&D Manager

Experience: 0–2 Years

Job Purpose:

To support the design, development, testing, and maintenance of software applications for advanced in-vitro diagnostic (IVD) systems, including automated clinical chemistry and immunoassay analyzers. The role involves developing Windows-based applications using C#, .NET, and WPF, along with Python-based utilities for data processing, testing, and automation, ensuring reliable system performance, usability, and software quality in line with medical device development practices.

Key Responsibilities:

1. Software Development & R&D Support

• Develop, enhance, and maintain diagnostic instrument software applications using C#, .NET, and WPF.
• Design and implement user interfaces using WPF and XAML for instrument operation, system monitoring, configuration, alarms, and result visualization.
• Support the development of application logic, data validation, workflow management, and reporting functionalities.
• Assist in implementing modular, maintainable, and reusable software components.
• Participate in software debugging, troubleshooting, performance improvement, and feature enhancement activities.

2. Diagnostic Instrument Integration

• Support software development for automated clinical chemistry and immunoassay diagnostic systems.
• Assist in implementing software workflows for sample handling, test selection, calibration, quality control (QC), and diagnostic result management.
• Work with hardware, electronics, firmware, and mechanical engineering teams to support software-hardware integration.
• Assist in communication between software applications and instrument subsystems, sensors, actuators, barcode scanners, and other peripherals.
• Support communication interfaces such as serial communication and TCP/IP, as required for instrument integration.

3. Python Development & Data Processing

• Develop Python scripts and utilities for test automation, data processing, log analysis, and engineering support activities.
• Assist in analyzing instrument data, identifying software issues, and supporting root-cause investigations.
• Develop utilities to simplify repetitive testing, validation, and troubleshooting activities.
• Support data exchange and integration using formats such as JSON, XML, and CSV.

4. Software Testing & Quality Assurance

• Perform unit testing, integration testing, debugging, and regression testing of software modules.
• Prepare and execute test cases to verify software functionality, reliability, and performance.
• Document software defects, test results, troubleshooting activities, and corrective actions.
• Follow software development lifecycle (SDLC) practices, coding standards, version control, and code review processes.
• Support compliance with applicable medical device software development and risk management practices, including IEC 62304 and ISO 14971, under the guidance of senior engineers.

5. Database & System Integration

• Assist in developing and maintaining database functionalities using SQL Server, SQLite, or other relevant relational databases.
• Support data storage and retrieval for instrument configurations, sample information, test results, and system logs.
• Assist in application programming interface (API) development and integration with external systems.
• Support integration with Laboratory Information Systems (LIS) and related laboratory data exchange interfaces, where applicable.
• Maintain data integrity, appropriate error handling, and reliable application performance.

6. Innovation & Continuous Learning

• Contribute to R&D initiatives focused on diagnostic automation, instrument intelligence, and next-generation laboratory technologies.
• Stay updated on software engineering practices, desktop application development, and diagnostic instrumentation technologies.
• Participate in feasibility studies, prototype development, and proof-of-concept activities.
• Continuously improve technical skills through hands-on development, code reviews, and mentoring from senior engineers.

Qualifications and Experience:

• B.E. / B.Tech in Computer Engineering, Computer Science, Information Technology, Electronics Engineering, or a related discipline.
• M.C.A. / M.Sc. Computer Science or an equivalent relevant qualification may also be considered.
• Fresh graduates or candidates with up to 2 years of relevant software development experience.
• Strong fundamentals in C#, .NET, WPF, and Python.
• Academic projects, internships, or practical exposure to desktop application development are preferred.
• Exposure to medical devices, biomedical instrumentation, laboratory automation, or diagnostic systems will be an added advantage.

Skills and Competencies:

• Basic to intermediate programming knowledge in C# and .NET.
• Understanding of WPF, XAML, object-oriented programming (OOP), and desktop application development.
• Working knowledge of Python for scripting, data processing, and automation.
• Understanding of data structures, algorithms, exception handling, and debugging techniques.
• Basic knowledge of SQL databases and data management.
• Familiarity with Git or other version control tools.
• Awareness of multithreading, asynchronous programming, and software-hardware communication is preferred.
• Strong analytical thinking, problem-solving, and attention to detail.
• Good verbal and written communication skills.
• Ability to work collaboratively with multidisciplinary R&D teams.
• Willingness to learn medical device software standards, diagnostic workflows, and regulated product development practices.

Key Performance Indicators (KPIs):

• Quality, readability, and maintainability of software code developed.
• Timely completion of assigned software development tasks and R&D milestones.
• Effectiveness in debugging, troubleshooting, and resolving software defects.
• Quality and coverage of unit tests, integration tests, and validation activities.
• Reliability of software modules and successful integration with diagnostic instrument subsystems.
• Accuracy and completeness of technical documentation and test reports.
• Contribution to software quality, product improvements, and continuous innovation initiatives.