IIT Delhi Project Research Scientist-I Recruitment 2026

IIT Delhi is hiring 1 Project Research Scientist-I for a School of Biological Sciences research project. If you have a 1st class MSc or PhD in Bioinformatics, Computational Biology, Genomics, Molecular Biology, or a related quantitative field, you can apply by email. The last date to send the completed application is 18 June 2026, 5:00 PM. Salary is Rs. 56,000 per month plus 30% HRA.

Indian Institute of Technology Delhi (IIT Delhi) Project Research Scientist-I Recruitment 2026 - 1 Post

Indian Institute of Technology Delhi (IIT Delhi) has released Advertisement No. IITD/IRD/137/2026 dated 05 June 2026 for a Project Research Scientist-I position under an ICMR-funded project. The project is titled Multimodal Imaging and Organoid Modeling for Optimized GBM Surgery and CAR T-Cell Therapy and is linked to project code RM00162G. This is a contractual project appointment, renewable yearly after performance review or up to the project duration, whichever comes first.

The work is technical and research-heavy. It suits candidates who can handle multi-omics data, genomics, transcriptomics, single-cell RNA-seq, spatial transcriptomics, computational pipelines, and cancer biology datasets. The project duration is listed up to 05 February 2029, but appointment renewal depends on IIT Delhi project rules and periodic performance review.

Who Can Apply?

Essential Qualification

• Qualification: 1st class MSc or PhD in Bioinformatics, Computational Biology, Genomics, Molecular Biology, or a related quantitative field.
• Research area fit: Your profile should connect with biological data analysis, cancer genomics, molecular biology, or computational biology.
• SC/ST marks relaxation: The notice says 5% relaxation of marks may be granted to SC/ST candidates.

Technical Skills

• Programming: Advanced Python and/or R programming for biological data analysis.
• Big data analysis: Strong comfort with computational methods and large biological datasets.
• Genomics: WGS, WES, variant calling, and CNV analysis exposure.
• Transcriptomics: RNA-seq and differential expression analysis experience.
• Single-cell and spatial omics: scRNA-seq, scATAC-seq, spatial transcriptomics, and imaging analysis.
• Statistics and ML: Strong statistical and machine learning background.

Preferred Profile

• Cancer biology: Research background in cancer biology, tumor microenvironment, or oncology is preferred.
• Publications: Peer-reviewed publications in good scientific journals will strengthen your application.
• Independent research: First-author or co-first-author papers are especially useful because they show research ownership.
• Team work: Strong communication skills are needed because the project is interdisciplinary.

The project combines patient samples, public datasets, organoid models, GBM research, and CAR T-cell analysis. Before applying, match your CV to these exact work areas instead of sending a generic biology resume. Add your analysis tools, datasets handled, publication role, programming languages, and cancer biology exposure in a clean order so the IIT Delhi team can quickly see why your profile fits this research post.

Salary

• Consolidated fellowship/pay: Rs. 56,000 per month.
• HRA: HRA at 30% is mentioned in the notification.
• Estimated total with HRA: Rs. 72,800 per month before deductions, if HRA is applied at the stated rate.
• Project nature: This is a project appointment, not a permanent IIT Delhi post.

The salary line in the notice is simple: Rs. 56,000 per month plus HRA at 30%. It does not mention DA, grade pay, travel allowance, or a central government pay level. Treat this as a project fellowship/pay slab under IIT Delhi IRD norms.

Application Fee

• Application fee: No application fee is mentioned in the official notification.
• Payment step: There is no fee payment date or payment instruction in the notice.

Selection Process

IIT Delhi will shortlist applicants from those who satisfy the advertised qualification and project requirements. The notification says the institute can set higher criteria for shortlisting, and only shortlisted candidates will be informed about the online interview.

1. Application Screening: IIT Delhi checks the IRD form, qualification, marks, research fit, skills, publications, and experience details.
2. Shortlisting: The institute may apply higher criteria if many applicants meet the minimum requirements.
3. Online Interview: Shortlisted candidates receive online interview details through the official process.
4. Document Verification: Qualification, marks, experience, category relaxation, and publication details may be checked before appointment.

How to Apply

1. Download Form No. IRD/REC-4 from the IIT Delhi IRD recruitment page at ird.iitd.ac.in/rec.
2. Fill the form with complete information on education, marks or division, work experience, publications, and technical skills.
3. Keep the advertisement number IITD/IRD/137/2026 in the email subject line.
4. Email the completed form and supporting details to sklab2021@gmail.com, addressed to Prof. Saran Kumar.
5. Send the completed application by 18 June 2026, 5:00 PM.
6. For eligibility clarification, contact Prof. Saran Kumar at the same email ID.
7. Check the IIT Delhi shortlisting page at ird.iitd.ac.in/shortlisted for shortlist and interview-related updates.

Make your email clear and easy to review. The project is highly technical, so your form should highlight Python/R, multi-omics data analysis, cancer biology, publications, and biological data experience instead of only listing degree names.

Important Dates

• Notification Date: 05 June 2026
• Application Start: 05 June 2026
• Last Date to Apply by Email: 18 June 2026, 5:00 PM
• Project Duration: Up to 05 February 2029
• Online Interview Date: To be informed to shortlisted candidates

• Develop computational pipelines for multi-omics and integrative biological data analysis
• Analyze genomics, transcriptomics, single-cell RNA-seq, and spatial transcriptomics datasets
• Study tumor heterogeneity, immune microenvironment, and CAR T-cell infiltration patterns
• Use Python, R, statistics, and machine learning methods for biological data analysis
• Prepare research outputs, data summaries, figures, and technical reports for the project team
• Work with interdisciplinary researchers on GBM surgery and CAR T-cell therapy data
• Maintain reproducible code, analysis records, and publication-ready research documentation