Asst Manager / Dy Manager - Cheminformatics & Bioinformatics Scientist

Amneal Pharmaceuticals; Ahmedabad District; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Amneal Pharmaceuticals is seeking a computational biologist/data scientist to design workflows for chemical and biological data analyses, applying QSAR, docking, and ADMET modeling to advance lead optimization.

The role involves analyzing NGS and proteomics datasets, integrating chemical libraries with clinical data, and developing ML/AI models for predictive drug discovery. Collaboration with chemists and biologists is essential.

Qualifications

• Ph.D. or Masters in Cheminformatics, Bioinformatics, Computational Chemistry/Biology or related field.

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.
• 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.
• Understand protein-protein interactions, ADC and PDC development.
• Develop and apply ML/AI models for predictive drug discovery and biomarker discovery.
• Collaborate with medicinal chemists, molecular biologists, pharmacologists, and data scientists.
• Present findings through reports, visualizations, and presentations to internal and external stakeholders.
• DbMS

Skills

Drug discovery

Molecular biology

Systems biology

Cheminformatics

Bioinformatics

Python

R

SQL

ML/AI

Cloud computing

Education

Ph.D. or M.Pharm/M.Sc. in Cheminformatics/Bioinformatics/Computational Chemistry/Computational Biology

Tools

RDKit

Schrödinger

MOE

KNIME

Pipeline Pilot

Job description

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.
• 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.
• DbMS

Skills

• Strong knowledge of drug discovery, molecular biology, and systems biology.
• Proficiency in cheminformatics software (e.g., RDKit, Schr dinger, 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.

Note: The interview process will include a presentation, where candidates must demonstrate an AI/ML model for drug discovery from their past experience.

• Ph.D. or M. Pharm, M.Sc. in Cheminformatics, Bioinformatics, Computational Chemistry, Computational Biology, or a related field.