Research Engineer

9 hours ago

hyderabad, India beBeeHealthcare Full time

Full Stack Developer in Healthcare TechnologyWe are seeking a highly skilled and motivated Full Stack Developer to join our team working on impactful technology solutions in the healthcare domain.The ideal candidate will contribute to the design, development, and deployment of applications and services across mobile, web, and server-side components. The role involves working with modern frameworks, cloud platforms, Artificial Intelligence and data-driven technologies to build solutions grounded in real-world healthcare needs.Key Responsibilities:Design, prototype, and develop full-stack applications—including mobile and web interfaces—as required.Build server-side components and integrate applications with REST APIs, models, and backend services.Evaluate existing technologies, frameworks, and architectural options to choose suitable approaches.Work with data—perform exploratory analysis, visualisation, and interpretation as needed.Follow best engineering practices, including continuous integration, testing, and deployment.Collaborate with engineers, team leads, research assistants, and faculty members to drive solution development and validation.Requirements:Bachelor's degree or higher in ECE, CSE, EEE, or related disciplines with strong programming fundamentals.Hands-on experience in hybrid mobile application development using React Native or similar frameworks for Android/iOS.Experience with cloud platforms (GCP preferred) for deployment and integration.Proficiency in Python and/or JavaScript is an advantage.Exposure to machine learning or deep learning concepts is desirable.Strong communication skills with the ability to articulate design and implementation decisions.Comfort with iterative development, frequent testing, and rapid deployment cycles.Curiosity, problem-solving ability, and a mindset to explore new technologies.Why Work With Us:Contribute to high-impact projects in healthcare and public health involving data analysis, machine learning, deep learning, and computer vision.Collaborate closely with professors, senior technology leaders, and research scientists in designing and evaluating solutions.Engage with cutting-edge research at our institution and explore ways to translate research outcomes into deployable systems.Gain a deeper understanding of healthcare needs and AI/ML concepts beyond black-box application use, including model exploration, tuning, and evaluation.Opportunity to enroll in courses aligned with your work and pursue MS or other academic programmes at our institution.

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