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.