Research Associate-I/II

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About the Organization

The National Institute of Immunology (NII) is an autonomous institution supported by the Department of Biotechnology, Government of India. The Institute is committed to advanced research addressing the basic mechanisms involved in body's defence, host-pathogen interactions and related areas with a view to contribute to the creation of an internationally competitive intellectual knowledge base as a sustainable source of innovative futuristic modalities of potential use in health care.

Job Description

The selected candidate will be responsible for the design, development, and maintenance of a large-scale computational platforms and database in immunology. The responsibilities will include development of scientific software modules for data processing, integration, analysis, and visualization; implementation of backend services and APIs using Python; and development of web-based interfaces for database access and user interaction.

Education Qualification/Required Skills & Experience

• PhD in Bioinformatics/Computational Biology/Systems Biology Biophysics or any closely related interdisciplinary area involving computation in Life sciences.
• Two year’s experience in R&D in Industrial and Academic Institutions or Science and Technology Organisations and Scientific activities and services

Desirable Skills & Experience:

• Demonstrated experience in scientific software development in academic, industrial R&D, or national research laboratories.
• Strong programming expertise in Python; familiarity with Node.js or similar backend technologies is desirable.
• Experience in web application development using HTML5, JavaScript, CSS, Bootstrap, and modern frontend libraries.
• Working knowledge of Flask, Django, or similar web frameworks.
• Strong command of Linux system administration, deployment, and server-side operations.
• Experience in handling large-scale biological datasets, including sequence, structure, and omics data.
• Exposure to AI/ML-ready data pipelines, data preprocessing, and model integration is desirable.
• Understanding of software development lifecycle, version control (Git), and collaborative development workflows.
• Prior experience with bioinformatics resources, structural biology data, immunology databases, or genomics platforms will be a significant advantage.
• Strong documentation, troubleshooting, and interdisciplinary communication skills.

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