Advertisement No: NIBMG/ADMIN/ESTB/2025-26/ 340 Date: 19/03/2026
Position available: Online Interview
Project Title: Translational Decoding of TCR-Neoantigen Dynamics in Oral Precancerous Lesions
Progression towards Frank Cancer: Integrating Spatial Sequencing and AI for Early Prediction
Biomarker Development.
Oral Squamous Cell Carcinoma (OSCC) remains one of the leading causes of cancer-related mortality in
India, largely driven by late-stage diagnosis and high recurrence rates. While oral precancerous lesions,
such as Leukoplakia, are frequently identified during routine screenings, the lack of definitive molecular
biomarkers makes it nearly impossible to predict which lesions will undergo malignant transformation. This
project aims to bridge that gap by shifting the focus toward early intervention and immunogenomic risk
stratification.
The project involves -
(i) combining high-throughput TCR sequencing with existing somatic
mutation, gene expression, and methylation data from oral cancer patients.
(ii) utilizing cutting-edge spatial
technologies to understand the regulatory roles and architectural nuances of the immune milieu in
independent patient cohorts.
(III) developing a predictive AI/ML algorithm that integrates immunogenomic
features for early disease progression risk assessment.
We are looking for motivated researchers to join us in reconstructing the oral cancer progression model.
Project
Research
Scientist -
III (Nonmedical)
1
Consolidated Remuneration [INR] per month 78000 + 30%
HRA
Essential Qualifications
(i) Doctoral Degree
in Science or
Master's Degree in
Engineering or
Technology from a
recognized
University or
equivalent;
and
(ii) Seven years'
experience in
Research and
Development in
Industrial and
Academic
Institutions or
Science and
Technology
Organisations and
Scientific activities
and services
Desirable Qualifications
(i) Experience
in AI/ML model
development
(ii) Experience
in developing
data analytical
pipelines and
tools for big
data analysis
and
interpretations
of genomics
and
transcriptomics
data
(iii) Experience
in C/C++ or
Python or R
(iv) Good
knowledge in
linux
Nature of Duty
(i) Curate,
process and
create AI
ready data.
(ii) Building
AI/ML models
to identify
biomarkers for early detection
of cancer.
(iii) Building
pipelines for
NGS data
analysis
(v) Report
writing
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