Computational Chemist Job at Syngene. Life Sciences & Biotechnology Candidates, Apply Now For this Job in Bangalore.
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Computational Chemist Job at Syngene | Life Sciences | Apply Now

Syngene International, a global leader in integrated scientific services, is hiring a Computational Chemist to join its specialized Computational & Data Sciences department in Bangalore. This computational chemist job offers a unique opportunity to apply advanced in-silico techniques to solve complex drug discovery and material science problems for the world’s leading pharmaceutical and biotech firms. A Syngene career places you at the intersection of high-end data science and molecular biology. This Biotechnology job is ideal for professionals who want to leverage machine learning, molecular modeling, and high-performance computing to accelerate R&D productivity.

  • Job Position: Computational Chemist
  • Location: Bangalore, Karnataka, India.
  • Department: Computational & Data Sciences.
  • Division: Discovery Services.

About the Company

Syngene is an innovation-led contract research, development, and manufacturing organization (CRDMO). With a massive team of over 4,000 scientists, Syngene lower the cost of innovation by providing integrated services across discovery and commercial supply. Choosing a Syngene career means joining a culture that values speed-to-market and proactive scientific problem-solving.

Job Overview

The Computational Chemist job focuses on using structure-based and ligand-based drug design (SBDD/LBDD) to optimize small and large molecules. You will play a critical role in interpreting chemical and biological data through cheminformatics and predictive modeling. This Biotechnology job requires a high degree of technical proficiency in simulating molecular dynamics and implementing quantum chemistry workflows.

Key Responsibilities

  • Molecular Modeling: Support the design of molecules using both structure and ligand-based approaches to enhance compound selection.
  • Machine Learning: Apply data science and machine learning techniques to derive insights from vast computational chemistry datasets.
  • Property Prediction: Implement QSAR/QSPR modeling to predict molecular properties accurately.
  • Workflow Development: Contribute to the development of innovative computational tools and automated workflows.
  • Collaboration: Work within a multidisciplinary team to convey complex scientific results clearly to stakeholders.

Requirements & Qualifications

To be considered for this computational chemist job, candidates must fulfill the following:

  • Education: Master’s degree in Biotechnology or Life Sciences.
  • Technical Software: Experience with industry-standard tools like Schrodinger (Maestro, Bioluminate), MOE, ICM, Cresset, KNIME, or Pipeline Pilot.
  • Core Skills: Expertise in QSAR/QSPR modeling, cheminformatics, and data science. Proficiency in molecular dynamics, homology modeling, and pharmacophore modeling is required.
  • Computing Environment: Familiarity with Linux-based clusters, GPU systems, and high-performance computing (HPC).
  • Programming: Knowledge of Python is considered a significant advantage.

Launching a Syngene career as a Computational Chemist is a premier move for researchers at the forefront of the Biotechnology job market. This role in Bangalore offers the chance to apply sophisticated modeling and AI-driven insights to real-world drug discovery challenges. If you are a Master’s graduate with expertise in QSAR, docking, and molecular dynamics, this computational chemist job provides the ideal platform for scientific growth. Apply today to become part of a 4,000-strong team of experts making miracles happen in science.

APPLY ONLINE HERE

BioTecNika Bureau
BioTecNika Bureau is the official editorial and research desk of BioTecNika, dedicated to bringing reliable updates, career guidance, exam information, job alerts, scholarships, industry trends, and learning resources for life science and biotechnology students, researchers, and professionals. Since 2006, BioTecNika has been committed to simplifying complex scientific information and helping learners make informed academic and career decisions.