IIITD Research Scientist III NIPS Recruitment 2026

IIITD Project Research Scientist III Recruitment 2026: Overview

Indraprastha Institute of Information Technology Delhi (IIITD) is hiring a Project Research Scientist-III for its Translational Biology Lab in the Department of Computational Biology. The contractual role supports an Indian Council of Medical Research (ICMR) funded project on an indigenous platform for prenatal screening. You will report to Dr. Jaspreet Kaur Dhanjal, Assistant Professor.

The project brings together reagents and analysis software for non-invasive prenatal screening (NIPS) of fetal aneuploidies. Its aim is an affordable, locally developed integrated platform. This gives the appointment a specific biomedical setting within the institute's computational biology research.

The notice places the role in a collaborative research environment, linking clinical, experimental and computational teams. The project combines biological and clinical information with statistical and artificial intelligence or machine learning approaches. Its focus includes turning research outcomes into solutions that can be used in practice.

Service Conditions and Caveats

• Initial appointment: The engagement is for 11 months. Successful completion of a three-month probation period is a condition of the appointment.
• Extension: Continued engagement depends on your performance, the project's needs, available funding and the institute's applicable rules. An extension is therefore conditional; the initial term does not promise further employment.
• Project framework: Recruitment follows ICMR and IIITD norms. The notice makes clear that the institute's decision is final on matters relating to this hiring exercise.
• Communication: The institute will contact shortlisted applicants by email. Keep the email address supplied in your application accessible so that you can receive recruitment updates.

• Lead research using biomedical and clinical datasets.
• Develop and evaluate statistical and artificial intelligence or machine learning methods for the project.
• Combine biological and clinical data and interpret the results.
• Coordinate work with clinical, experimental and computational collaborators.
• Guide junior researchers and students working on data analysis.
• Prepare manuscripts, technical reports, presentations and project deliverables.
• Keep research records, datasets and computational outputs organised.
• Track project milestones and help turn research findings into usable solutions.