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Amneal Pharmaceuticals is seeking a highly skilled Executive / Senior Executive – Cheminformatics & Bioinformatics Scientist to join their innovative team in Ahmedabad, Gujarat. This role offers an exciting opportunity to integrate cheminformatics, bioinformatics, and AI/ML drug discovery methods for cutting-edge pharmaceutical research. If you have hands-on experience with molecular docking, QSAR modeling, NGS analysis, and predictive AI models, this role is perfect for you.
Key Responsibilities
- Design and implement computational workflows for chemical, biological, and multi-omics data analysis.
- Apply cheminformatics techniques including virtual screening, molecular docking, QSAR, and ADMET modeling to support lead identification and optimization.
- Analyze NGS, RNA-seq, proteomics, and single-cell datasets to identify biomarkers, pathways, and novel targets.
- Integrate chemical libraries with biological and clinical datasets for cross-domain insights.
- Apply machine learning and AI frameworks for predictive drug discovery and biomarker discovery.
- Understand protein-protein interactions, ADC, and PDC development.
- Collaborate with medicinal chemists, molecular biologists, pharmacologists, and data scientists.
- Present findings through reports, visualizations, and presentations to stakeholders.
- Manage and query large-scale chemical and biological datasets using DBMS (MySQL, PostgreSQL, MongoDB).
- Utilize HPC or cloud computing platforms (AWS, GCP) for large-scale computational studies.
Qualifications
- Education: Ph.D., M.Pharm, or M.Sc. in Cheminformatics, Bioinformatics, Computational Chemistry, Computational Biology, or related field.
- Strong knowledge of drug discovery, molecular biology, and systems biology.
- Proficiency in cheminformatics software (RDKit, Schrödinger, MOE, KNIME, Pipeline Pilot).
- Experience with bioinformatics platforms (Bioconductor, GATK, Galaxy, Cell Ranger).
- Programming skills in Python, R, SQL, Bash; ML/AI frameworks: TensorFlow, PyTorch, Scikit-learn.
- Familiarity with chemical & biological databases: PubChem, ChEMBL, PDB, Ensembl, UniProt, TCGA.
- Excellent communication and cross-functional collaboration skills.
- Experience in presenting AI/ML models in drug discovery is preferred.
Benefits
- Competitive salary range: INR 12,00,000 – 18,00,000 per annum
- Opportunity to work on cutting-edge AI/ML-based drug discovery projects.
- Exposure to multi-omics data, cheminformatics, and bioinformatics integration.
- Collaborative work environment with cross-functional teams.
- Professional growth and skill enhancement in computational drug discovery.
How to Apply
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