Asst Manager / Deputy Manager - Cheminformatics & Bioinformatics Scientist

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, 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.

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.