Mpharm Jobs at Amneal- Apply for Executive/ Senior Executive Role
Amneal is hiring a Computational Scientist to drive AI- and ML-based drug discovery initiatives. This role involves designing computational workflows, integrating chemical and biological datasets, applying cheminformatics techniques, and collaborating with cross-functional teams to accelerate lead identification, biomarker discovery, and multi-omics analysis.
About Amneal:
Amneal is an equal opportunity employer committed to diversity and inclusion. The organization fosters a workplace where talent and innovation thrive, and it offers opportunities to contribute to groundbreaking drug discovery through advanced computational techniques.
Mpharm Jobs – Role:
Amneal is seeking a Computational Scientist to accelerate drug discovery using AI and machine learning. The role focuses on designing computational workflows, integrating chemical and biological datasets, and supporting lead identification and optimization. The ideal candidate will work on multi-omics datasets, including NGS, RNA-seq, proteomics, and single-cell data, to identify biomarkers, pathways, and novel therapeutic targets.
Mpharm Jobs – Key Responsibilities:
- Design and implement computational workflows for chemical, biological, and multi-omics data analysis.
- Apply cheminformatics methods (virtual screening, molecular docking, QSAR, ADMET modeling) to support drug development.
- Analyze NGS, RNA-seq, proteomics, and single-cell datasets for biomarker and pathway discovery.
- Integrate chemical libraries with biological and clinical datasets to gain cross-domain insights.
- Understand protein-protein interactions, ADC, and PDC development.
- Develop and implement AI/ML models for predictive drug discovery and biomarker identification.
- Collaborate with medicinal chemists, molecular biologists, pharmacologists, and data scientists.
- Present findings through reports, visualizations, and presentations to internal and external stakeholders.
Executive Role- Skills & Competencies:
- Strong understanding of drug discovery, molecular biology, and systems biology.
- Proficiency in cheminformatics software: RDKit, Schrödinger, MOE, KNIME, Pipeline Pilot.
- Hands-on experience with bioinformatics platforms: Bioconductor, GATK, Galaxy, Cell Ranger.
- Programming proficiency in Python, R, SQL, Bash; experience with ML/AI frameworks like TensorFlow, PyTorch, and Scikit-learn.
- Familiarity with chemical and biological databases: PubChem, ChEMBL, PDB, Ensembl, UniProt, TCGA.
- Knowledge of DBMS: MySQL, PostgreSQL, MongoDB for large-scale dataset management.
- Experience with HPC or cloud computing (AWS, GCP, or equivalent).
- Excellent communication skills and ability to collaborate with cross-functional teams.
Qualifications:
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Ph.D., M. Pharm, or M.Sc. in Cheminformatics, Bioinformatics, Computational Chemistry, Computational Biology, or related field.
