Scientist (AI Modeling (Bio/Genomics)

Hyderabad, India | Hybrid | Full-Time

About Aganitha

Accelerate drug discovery and development for Biopharma and Biotech R&D with in silico solutions leveraging Computational Biology & Chemistry, High throughput Sciences, AI, ML, HPC, Cloud, Data, and DevOps.

In silico solutions are transforming the biopharma and biotech industries. Our cross-domain science and technology team of experts embark upon and industrialize this transformation. We continually expand our world-class multi-disciplinary team in Genomics, AI, and Cloud computing, accelerating drug discovery and development. What drives us is the joy of working in an innovation-rich, research-powered startup bridging multiple disciplines to bring medicines faster for human use. We are working with several innovative Biopharma companies and expanding our client base globally. Read about how and what solutions we build.

Aganitha (अगणित): “countless” or “limitless” in Sanskrit serves as a reminder and inspiration about the limitless potential in each one of us. Come join us to bring out your best and be limitless!

Role Overview

We are looking for scientists who can apply AI/ML to biological and genomic data to solve real-world challenges in disease research and therapeutics.

Key Responsibilities

• Develop and deploy AI/ML models on large-scale biological and genomic datasets, leveraging deep learning and statistical approaches to generate predictive and disease-relevant insights.
• Design and execute population genomics analyses (WES/WGS, GWAS, QTL, PRS, variant analysis) to understand disease mechanisms and identify clinically relevant signals.
• Apply in-silico and AI-driven methods to support therapeutic discovery, biomarker identification, modeling biological systems, designing and optimizing antibodies, RNA, or related modalities.
• Curate, integrate, featurise and preprocess complex datasets from experiments, literature, and public repositories to ensure high-quality inputs for modeling and analysis.
• Validate, benchmark, and interpret model outputs against biological data and research objectives, translating results into actionable scientific insights.
• Collaborate with cross-functional teams including bioinformaticians, computational chemists, data scientists, and wet-lab researchers to deliver end-to-end solutions.
• Stay current with advancements in AI/ML, genomics, and computational biology, and apply emerging methods to enhance research and discovery outcomes.

Required Qualifications

• PhD / Postdoc in Genomics, Bioinformatics, Computational Biology, Biochemistry, Applied Mathematics/Statistics, or related fields
• Strong Python programming skills with solid ML/DL fundamentals
• Experience working with statistical genomics tools (PLINK, HAIL, Glow) and large biological/genomic datasets

Preferred Qualifications

• Experience with PyTorch, TensorFlow, or scikit-learn
• Exposure to HPC or cloud platforms (AWS, GCP, Azure), Linux environments, and Docker
• Prior experience applying AI/ML in disease research, genomics, or therapeutic discovery