Department of Pharmacy
“Designing the Drugs of Tomorrow – Bridging Science, Technology, and Therapeutics.”
Introduction
The Department of Pharmacy at Aspire Tech Park empowers learners to become next-generation pharmaceutical professionals by integrating core formulation skills with cutting-edge tools in AI, computational drug design, regulatory data science, and pharmacogenomics. Rather than repeating academic pharmacy topics, this department focuses on how pharmacy intersects with technology, biology, and patient-centered product innovation. Learners are trained in data-driven formulation, AI-supported clinical insight, digital pharmaceutics, and regulatory frameworks that shape global pharma industries.
Currently Active
Training in AI for pharma, bioinformatics in drug design, and pharmacogenomic data handling is now open.
Courses Under Validation
Regulatory intelligence automation, digital twin simulation for drug testing, and personalized medicine modules are under advisory review.
Foundational Webinars
- AI in Pharmaceutical Research: From Formulation to Failure Prediction
- Bioinformatics and Drug Design: How Molecular Data Accelerates Discovery
- Digital Pharmaceutics: Simulation Models and Drug Delivery Optimization
- Pharmacogenomics and Personalized Drug Response: Real-World Case Studies
- Network Pharmacology: Designing Multi-Target Drugs with System Biology
Online Hands-on Training Workshops
- Ligand and Receptor Interaction Simulation (AutoDock, SwissDock, PyRx)
- Protein Structure Retrieval and Modeling using PDB and SwissModel
- Pharmacophore Modeling: Structure-Based Design Using PharmaGist
- Drug-Likeness Prediction and ADMET Screening using SwissADME and pkCSM
- Network Pharmacology Workflows using Cytoscape + STITCH + KEGG Pathways
- Pharmacogenomics Data Interpretation using dbSNP, 1000 Genomes, and PharmGKB
- AI in Pharma: Use of Machine Learning for Side Effect Prediction (KNIME or Weka)
Offline Hands-on Training Workshops
- Formulation R&D with Predictive Modeling (Trial Batches + Response Surface Methodology)
- Clinical Data Analysis for Drug Kinetics (PK/PD Simulation Models)
- Wet-to-Dry Workflow Mapping: From Tablet Formulation to Docking-Based Efficacy
- Stability Study Design Using Software Tools (Shelf-Life Projection)
- Lab Simulation of Personalized Drug Testing Framework (Demo Case Setup)
Certification Courses
Advanced Level Only
- Computational Pharmaceutics: Drug–Target Modeling and Molecular Docking
- AI and Machine Learning in Drug Discovery & Side Effect Profiling
- Pharmacogenomics and Personalized Medicine: From Data to Dose
- Drug Dynamics & Kinetics Modeling Using Clinical Case Sheets
- Regulatory AI and Digital Compliance Tools in Global Pharma Filing
- Bioinformatics for Formulation Scientists: Protein–Ligand–Formulation Integration
Internships (Online & Offline)
- Bioinformatics & Drug Design Internship: Target ID → Docking → ADMET Prediction
- AI-Powered Clinical Formulation Simulation Internship
- Pharmacogenomics Data Interpretation Internship (Patient SNP → Drug Response Mapping)
- Regulatory Affairs & eCTD Automation Internship (India/US/EU Filing Models)
- Formulation + Simulation Internship: Batch Manufacturing + Computational Model Comparison
- Mini-Project Internship: Designing a Multi-Target Drug Strategy Using Network Pharmacology
Outcomes
- Acquire future-ready skills to work in AI-driven pharma R&D, formulation labs, regulatory teams, and clinical data roles
- Learn to apply bioinformatics and pharmacogenomics to predict drug action and optimize formulations
- Gain exposure to computational tools, molecular databases, simulation software, and digital compliance platforms
- Build a cross-functional portfolio linking lab science with software-based optimization
- Receive industry-aligned, mentor-reviewed certifications that prepare for jobs in global pharma, CDMOs, and digital health sectors
Target Job Placement Sectors
- Computational Pharmaceutics & Drug Design Labs
- Pharmaceutical AI R&D Teams
- Bioinformatics & Pharmacogenomics Support Units
- Clinical Data Science & Digital Therapeutics Companies
- Regulatory Affairs and Global Submission Divisions (eCTD, AI-assisted tracking)
- Pharma Startups Innovating in Personalization, Dosage Tech, and Predictive Analytics
- CDMOs (Contract Development & Manufacturing Organizations) for Formulation + Modeling