Amneal Careers: Scientist Jobs | MSc Cheminformatics / Computational Chemistry Graduates Apply Now
Are you looking for scientist jobs in computational chemistry and bioinformatics? This Executive / Senior Executive – Cheminformatics & Bioinformatics Scientist role is a premium opportunity for professionals seeking advanced cheminformatics jobs and computational chemistry jobs within Amneal careers. Based in Ahmedabad, this role combines AI, machine learning, and multi-omics data analysis to drive next-generation drug discovery and biomarker research.
About Amneal
Amneal is a global pharmaceutical company dedicated to developing, manufacturing, and delivering high-quality medicines that improve patient outcomes worldwide. With a strong focus on research and innovation, Amneal supports a wide range of scientist jobs, including advanced computational chemistry jobs and cheminformatics jobs, that contribute to cutting-edge drug discovery and development. Through its commitment to scientific excellence, collaboration, and technology-driven research, Amneal careers offer professionals opportunities to work at the intersection of chemistry, biology, bioinformatics, and AI-enabled pharmaceutical research. As an equal opportunity employer, Amneal fosters an inclusive and diverse workplace where scientists and professionals can grow, innovate, and make a meaningful impact on global healthcare.
Job Details
- Job Post: Executive / Senior Executive – Cheminformatics & Bioinformatics Scientist
- Location: Ahmedabad City, Gujarat, India
- Job Identification: 6608
- Apply Before: 12/20/2025, 04:52 PM
Qualifications: Ph.D. or M. Pharm, M.Sc. in Cheminformatics, Bioinformatics, Computational Chemistry, Computational Biology, or a related field.
Job Description
This role is ideal for professionals seeking advanced scientist jobs that combine cheminformatics, bioinformatics, and computational chemistry within a global pharmaceutical organization.
Key Responsibilities
- Design and implement computational workflows for chemical, biological, and multi-omics data analysis.
- Apply cheminformatics techniques (virtual screening, molecular docking, QSAR, ADMET modeling) to support lead identification and optimization in computational chemistry jobs.
- Analyze next-generation sequencing (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.
- Understanding of protein-protein interaction, ADC, and PDC development.
- Develop and apply machine learning/AI models for predictive drug discovery and biomarker discovery.
- Collaborate closely with medicinal chemists, molecular biologists, pharmacologists, and data scientists.
- Present findings through reports, visualizations, and presentations to internal and external stakeholders.
Skills
- Strong knowledge of drug discovery, molecular biology, and systems biology.
- Proficiency in cheminformatics software (e.g., RDKit, Schrödinger, MOE, KNIME, Pipeline Pilot).
- Hands-on experience with bioinformatics platforms and tools (Bioconductor, GATK, Galaxy, Cell Ranger).
- Strong programming skills (Python, R, SQL, Bash); experience with ML/AI frameworks (TensorFlow, PyTorch, Scikit-learn).
- Familiarity with databases such as PubChem, ChEMBL, PDB, Ensembl, UniProt, and TCGA.
- Knowledge of DBMS (e.g., MySQL, PostgreSQL, MongoDB) for managing and querying large-scale biological and chemical datasets.
- Experience with HPC or cloud computing environments (AWS, GCP, or equivalent).
- Excellent communication skills and ability to work in cross-functional teams.
