Project Research Scientist -I (Bioinformatician)

St Johns Research Institute (SJRI); Bengaluru; On-site; INR 500,000 - 900,000; Full time

Job summary

St Johns Research Institute (SJRI) in Bengaluru, Karnataka is seeking a scientific researcher to identify genetic factors underlying maternal DNL and infant fat, and its interaction with the gut microbiome.

The role involves leading GWAS, Mendelian randomization, PRS development, microbiome data processing, and collaboration with biologists and clinicians to translate results into publications and grant deliverables.

Qualifications

• Experience in GWAS, PRS, and microbiome analysis preferred.
• Master's degree required in a related field.
• Strong statistical and computational biology skills.

Responsibilities

• Perform GWAS using large-scale genotypic and phenotypic data.
• Conduct Mendelian randomization analyses using UK Biobank data and infer causal relationships.
• Develop, validate, and apply polygenic risk scores (PRS) for disease risk prediction.
• Process and analyze microbiome whole metagenome sequencing data, including profiling.
• Implement QC, imputation, and statistical modeling pipelines.
• Collaborate with project staff to interpret results translationally.
• Maintain reproducible workflows using PLINK, R, Python, MR-Base, QIIME.
• Contribute to publications, reports, and grant deliverables.
• Support development of a project-specific database integrating genetic, microbiome, and clinical data.

Skills

GWAS

PRS

Mendelian randomization

Microbiome analysis

Data quality control

Education

Master's degree in Bioinformatics/Biostatistics/Computational Biology/Statistical Genetics

Tools

PLINK

R

Python

MR-Base

QIIME

Job description

Job Summary

Bangalore

Identifying genetic factors underlying maternal de novo lipogenesis (DNL) and infant body fat and its interaction with gut microbiome.

No of Vacancy: One

Responsibilities

• Perform genome-wide association studies (GWAS) using large-scale genotypic and phenotypic datasets.
• Conduct Mendelian randomization analyses using the UK Biobank dataset and infer causal relationships between genetic variants, biomarkers, and disease outcomes.
• Develop, validate, and apply polygenic risk scores (PRS) for prediction of disease risk and stratification of individuals.
• Process and analyze microbiome whole metagenome sequencing data, including taxonomic profiling, diversity metrics, and functional pathway analysis.
• Implement rigorous data quality control, imputation, and statistical modeling pipelines.
• Collaborate with project coordinators, molecular biologists, nutrition scientists, and clinicians to interpret bioinformatics results in a translational context.
• Maintain and document reproducible workflows using open-source bioinformatics/statistical tools (e.g., PLINK, R, Python, MR-Base, QIIME).
• Contribute to preparation of publications, reports, presentations, and grant deliverables.
• Support the development of a project-specific database/knowledge base integrating genetic, microbiome, and clinical information.

Eligibility Criteria

Preferred Qualifications: Master s degree in Bioinformatics, Biostatistics, Computational Biology, Statistical Genetics, or a related field. Preference for candidates with experience in GWAS, PRS, and microbiome analysis.

Age Criteria : 35 Years

Experience : Both freshers and experienced may apply, preference for those with experience.

Preferred Language: English and Kannada

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