Scientist – Statistical Genomics Job | Aganitha AI | Bioinformatics & Genomics Careers

Scientist – Statistical Genomics Job 2026

Aganitha AI | Bioinformatics & Genomics Careers

🧬 PhD / Research Expert | AI-Driven Drug Discovery

Great opportunity for Genomics, Bioinformatics, and Computational Biology researchers! 🎉 Aganitha AI is hiring a Scientist – Statistical Genomics to work on advanced population genomics and disease research projects using large-scale genomic datasets (WGS/WES).

🏢 About Aganitha AI

Aganitha AI is a research-driven startup specializing in in silico solutions for drug discovery. The name Aganitha (अगणित) means "countless" or "limitless" in Sanskrit, symbolizing their approach to solving complex biological challenges using AI, ML, and High-Performance Computing (HPC).

🧬 Role Overview

The Scientist will lead population genomics studies to understand genetic factors behind rare and complex diseases, supporting the development of new therapeutics using datasets like:

Whole Genome Sequencing (WGS) Whole Exome Sequencing (WES) eQTL / pQTL / mQTL

🔬 Key Responsibilities

• Population Genomics: Design and conduct studies for rare and complex diseases using multi-modal integrative analysis.
• NGS Data Analysis: Perform variant calling, annotation, and interpretation using GATK, SAMtools, and BCFtools.
• Association Studies: Conduct GWAS, Fine mapping, Linkage Disequilibrium (LD) analysis, and Mendelian Randomization.
• PRS Modeling: Build Polygenic Risk Score models using tools like PRSice and LDPred2.

🧰 Technical Toolkit Required

Bioinformatics Tools: PLINK, GCTA, ANNOVAR, GATK, SAMtools.

Statistical Modeling: GLM, PCA, Bayesian Statistics, SVM, SKAT (Burden tests).

Databases: gnomAD, ClinVar, GWAS Catalog, PRS Catalog.

🎓 Required Qualification

Minimum Requirement: PhD in Genomics, Bioinformatics, Statistical Genetics, or a related field. Equivalent industry research experience in genomic data analysis will also be considered.

⭐ Preferred Skills

• Programming proficiency in Python or R.
• Experience with High-Performance Computing (HPC).
• Exposure to cloud platforms: AWS, GCP, or Azure.

✅ Tip: Researchers with expertise in GWAS, Variant Annotation, and PRS modelling are highly suited for this high-level research role.

Join the frontier of AI-driven Drug Discovery. Apply now:

🚀 Apply Online (Aganitha Official)

Aganitha AI focuses on biosolutions and biotechnology innovations addressing global health challenges.