Computational Drug Discovery & Synthetic Chemistry Scientist

Full-Time Hyderabad Information Technology Posted Today

Job Overview

We are seeking a highly motivated and scientifically versatile Computational Drug Discovery & Synthetic Chemistry Scientist to support innovative pharmaceutical research spanning computer-aided drug design (CADD), computational chemistry, cheminformatics, computational toxicology, and synthetic route development.
 

What You'll Do
1. Computational Drug Discovery & Molecular Design
2. Retrosynthetic Analysis & Synthetic Route Development
3. Patent & Literature-Aware Chemistry
4. Computational Toxicology & Safety Assessment
5. Cheminformatics, Data & Computational Platforms
6. Scientific Collaboration

Key Responsibilities

  • PhD in Computational Chemistry, Chemistry, Organic Chemistry, Medicinal Chemistry, Physical Chemistry, Pharmaceutical Sciences, Computational Biology, or a closely related discipline
  • Postdoctoral experience and/or approximately 1–5 years of relevant industry or research experience
  • Demonstrated hands-on experience applying computational methods to real-world drug discovery problems
  • Strong expertise in at least two major computational drug discovery areas, such as:
  1. Molecular docking   
  2. Virtual screening  
  3. Pharmacophore modeling  
  4. Molecular dynamics  
  5. QSAR/QSPR  
  6. Cheminformatics  
  7. Computational ADMET  
  8. Computational toxicology  
  9. Machine learning/AI for drug discovery
  • Strong knowledge of organic chemistry and demonstrated ability to perform retrosynthetic analysis and develop synthetic routes for small molecules
  • Ability to independently evaluate the feasibility and practicality of proposed synthetic routes
  • Experience searching scientific literature and chemical/pharmaceutical patents
  • Strong understanding of molecular structure, chemical properties, protein–ligand interactions, reaction chemistry, and principles of drug discovery
  • Ability to integrate computational, chemical, and experimental information to make scientific recommendations
  • Strong scientific writing, communication, and presentation skills
  • Ability to work independently while collaborating effectively in multidisciplinary teams

Qualifications & Requirements

Education: PhD in Computational Chemistry, Chemistry, Organic Chemistry, Medicinal Chemistry, Pharmaceutical Sciences, or a related scientific discipline.

Experience: Postdoctoral experience and/or approximately 1–5 years of relevant industry or research experience. Candidates with exceptional academic, research, or industry experience may also be considered.
 

Preferred Qualifications

 

  • Proficiency in Python or another scientific programming language
  • Experience with cheminformatics libraries such as RDKit
  • Experience with industry-standard molecular modeling platforms such as Schrödinger, MOE, OpenEye, or equivalent
  • Experience with molecular dynamics packages such as GROMACS, AMBER, NAMD, or equivalent
  • Experience developing QSAR, ML, or deep-learning models for molecular properties, ADMET, or toxicity
  • Experience with computational toxicology and toxicity endpoint prediction
  • Experience with off-target prediction and biological pathway analysis
  • Experience developing chemical, biological, or toxicology databases
  • Experience developing computational platforms or automated workflows
  • Experience with AI-enabled drug discovery or generative chemistry
  • Experience searching and interpreting chemical and pharmaceutical patent landscapes
  • Familiarity with composition-of-matter, process, intermediate, and Markush claims
  • Experience developing alternative synthetic routes in response to existing literature or patent disclosures
  • Experience with process chemistry, route optimization, scale-up, impurity control, or CMC considerations
  • Experience working with HPC, cloud computing, or distributed computational environments
  • Peer-reviewed publications, patents, invention disclosures, or other demonstrated scientific contributions in computational drug discovery, synthetic chemistry, cheminformatics, or computational toxicology

Application Process

1

Submit Application

Complete the application form below with your details and CV

2

Initial Screening

Our HR team will review your application and contact suitable candidates

3

Technical Interview

Selected candidates will have a technical interview with the department head

4

Final Discussion

Final round with senior leadership team and offer discussion

Application Form

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