Project Associate Job at JNU | Bioinformatics | Apply Now
The School of Biotechnology (SBT) at Jawaharlal Nehru University (JNU) has announced a high-tech Project Associate job within a research initiative focused on developing AI tools for biological image data. This JNU recruitment drive seeks candidates who can bridge the gap between computational science and life sciences, specifically in the field of deep learning and image analysis. If you are a specialist looking for a Bioinformatics job that focuses entirely on dry-lab research and analytical methods, this position under Professor Binay Panda offers an elite platform at one of India’s top-ranked universities.
About the University
JNU is a premier institution of higher learning in India, and its School of Biotechnology is renowned for its interdisciplinary research. A career through JNU recruitment provides access to a vibrant academic community and cutting-edge computational resources. The school focuses on translating biological data into meaningful insights through innovative AI and machine learning frameworks, which is integral to any Project Associate role in high-demand fields.
Position Overview
This Project Associate job is strictly computational. The selected candidate will focus on building and refining deep learning models to process biological images—which could range from microscopy images to cellular structural data. It’s an excellent opportunity for those aiming to excel in a Project Associate position.
- Position: Project Associate (01 Post)
- Nature of Post: Temporary, initially for 1 year (extendable).
- Age Limit: 35 years.
- Selection Mode: Interview.
Emoluments (Consolidated per month):
- With NET/GATE: ₹31,000 + HRA.
- Without NET/GATE: ₹25,000 + HRA.
Eligibility & Skills Required
To qualify for this Bioinformatics job, candidates must strictly meet the following academic and technical criteria:
- Essential Qualifications: M.Sc. in Bioinformatics or B.Tech in these areas with prior experience.
- Core Technical Skills: Prior experience working with Python is a must.
- Deep Learning Expertise: Experience with biological data, analytical tools, and deep learning frameworks (such as TensorFlow or PyTorch) is required.
- Image Analysis: Specific experience in handling and analyzing image data is a preference, ideally suited for a Project Associate role.
Application Procedure For Project Associate Job
- Last Date to Apply: January 09, 2026, by 06:00 PM.
- How to Apply: Send your current CV and contact number via email to Professor Binay Panda at [email protected].
- Email Etiquette: Candidates currently working or enrolled in an institution are recommended to use their institutional email ID for authentication.
- Shortlisting: Only shortlisted candidates will be informed about the exact date and time of the interview.
Important Note on Eligibility
The institute has specified strict exclusions for this JNU recruitment:
- If you hold an M.Sc. in general Life Sciences (non-Bioinformatics) or a B.Tech in non-Data/CS fields without prior image analysis experience, you are requested not to apply. It’s crucial to align with Project Associate job prerequisites.
Securing a Project Associate job at JNU is a significant career milestone for computational researchers. This Bioinformatics job offers the chance to work on high-end AI tools that could redefine biological image interpretation. If you have a background in Data Science or Bioinformatics and possess strong Python skills, ensure you email Professor Binay Panda at JNU by January 9, 2026, to be considered for this JNU recruitment.
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