We are seeking a motivated Research Associate/Assistant with 2-3 years of experience in genomics and multi-omics data analysis, solid bioinformatics skills, and foundational knowledge of wet-lab experimental techniques

The successful candidate will support integration and analysis of genomics, GWAS, and multi-omics data to identify biomarkers relevant to cardiovascular and metabolic diseases

This role bridges computational biology with experimental validation, contributing to personalized medicine solutions

Analyse and interpret multi-omics datasets including genomics, transcriptomics, proteomics, and epigenomics

Perform GWAS and polygenic risk score calculations tailored to South Asian populations

Develop and maintain bioinformatics pipelines for pharmacogenomics and nutrigenomics data

Collaborate with wet-lab teams to design and execute experimental validation of candidate biomarkers

Support AI driven clinical decision support development by providing curated and analysed data

Generate detailed reports and visualizations to communicate findings to clinical and research teams

Stay updated on advances in precision medicine, bioinformatics tools, and cardiometabolic research

2-3 years of hands-on experience in genomics and multi-omics data analysis

Hands-on experience with bioinformatics tools and scripting languages (eg, R, Python)

Basic experimental lab knowledge, preferably in molecular biology techniques

Familiarity with human genetics, GWAS, pharmacogenomics, and multi-omics integration

Published or about to publish research papers in reputable journals in relevant fields

Motivated with the ability to independently carry out research projects

Ability to work independently and collaboratively in a team environment

Demonstrated ability to manage and prioritize multiple tasks and projects

Strong analytical, problem-solving, and communication skills