Senior Project Associate Job at NIBMG – M.Sc. Life Science Apply Now!
The National Institute of Biomedical Genomics (NIBMG) is inviting applications for the position of Senior Project Associate to contribute to the prestigious DRMS-India study. This project explores the role of the gut microbiome in diabetic retinopathy and offers a unique opportunity to work on high-impact genomic and metagenomic research. If you have expertise in bioinformatics and a passion for genomics, this is your chance to join a leading government institute in biomedical science.
Job Posting: Senior Project Associate at BRIC-NATIONAL INSTITUTE OF BIOMEDICAL GENOMICS
National Institute of Biomedical Genomics (NIBMG) Kalyani is an Institute of the Government of India, Ministry of Science & Technology, Department of Biotechnology. The Institute has created the necessary physical infrastructure and critical platform technologies to support research, translation, and training in biomedical genomics.
Position: Senior Project Associate
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NIBMG/ACADEMIC/PRJ RECTT/2024-25/421 Date: 18-03-2025
Project Name:
Title: Diabetic Retinopathy Microbiome Study-India (DRMS-India)
Principal Investigator:
Dr. Souvik Mukherjee
Research Description:
Diabetes affects 10% of Indian adults, with diabetic retinopathy (DR) impacting up to 20%, causing irreversible vision loss in 4%. Current DR treatments often have low success rates and lengthy procedures. Recent research in Telangana
and Andhra Pradesh highlighted links between gut bacteria and DR in those with diabetes. The DRMS aims to deepen this connection by analyzing stool samples from people with diabetes, diabetes-related retinopathy, and those without health issues.Participants will provide stool and blood samples at no cost. Stool DNA analysis will identify bacteria, while blood tests will assess diabetes levels and related conditions routinely checked in diabetics. This study seeks to shed more light on the role of gut bacteria in DR progression for better understanding and potential treatment advancements.
Nature of work & Responsibilities:
- Analysis of DNA and RNA sequence files from massively parallel sequencing platforms
- Performing day-to-day statistical analysis on the analyzed data
- Development of newer analysis pipelines focusing on human genomic and metagenomic data analysis
- Management of the documents and procurement of the items about the project
Place of Work:
National Institute of Biomedical Genomics, P.O.: N.S.S., Kalyani 741251, West Bengal
Essential Qualifications for Senior Project Associate:
M.Sc./ M.Tech in Life Science or equivalent with at least 4 years hands-on research experience in bioinformatic analysis of genomic/metagenomic data, or Ph.D. in Life Science or equivalent with expertise in bioinformatics of genomic/metagenomic data
Desirable Qualification:
- Hands-on experience in DNA sequence data analysis from FASTQ files
- Proficiency in Shotgun Metagenomics and 16S rRNA Gene Sequence data analysis
- Good knowledge of Perl/Python, Linux, and R programming
- Proficiency in English and good communication skills
Consolidated and Fixed Monthly Emolument:
₹42,000/- + 27% HRA = ₹53,340
This position is contractual. The appointment will be initially given up to 30th September 2025, and it will be extendable depending upon performance, the requirements of the project, and the availability of funds.
How to Apply: Interested candidates need to send an email with a copy of the CV (in the proper format given in Annexure-I on the next page) to applsmlab@gmail.com. The last date of application is 11-04-2025 (Friday up to midnight).
Note: Only the shortlisted candidates will be called for an interview. The interview will be held only online.
All educational, professional, and technical qualifications should be obtained from a recognized board/university. Fulfilling essential qualifications and experience does not automatically entitle a candidate to be shortlisted or called for an Interview.
Keywords: Senior Project Associate, NIBMG, Biomedical Genomics, Job Posting, Project Linkage, Bioinformatics, DNA Analysis, Microbiome Sequence Data
