C-CAMP Recruitment 2026 – Computational Chemistry & AI Scientist Jobs
C-CAMP Chemistry Jobs 2026 offer an opportunity at the Centre for Cellular and Molecular Platforms (C-CAMP), Bengaluru, for scientists eager to blend Chemistry with Artificial Intelligence in computational drug discovery, cheminformatics, and AI-based molecular research. Interested candidates with advanced qualifications can apply before 31 October 2026.
About C-CAMP
The Centre for Cellular and Molecular Platforms (C-CAMP) is an initiative supported by the Department of Biotechnology, Government of India. Based in Bengaluru, C-CAMP supports scientific research, innovation, and entrepreneurship. The organisation is collaborating with an international life sciences investment and innovation organisation to establish a scientific team focused on AI-enabled research and drug discovery.
Job Details
- Location: Bengaluru, Karnataka
- Experience: No fixed number of years specified
1. Computational / Cheminformatics Scientist
- Number of Positions: 01
- Educational Qualification: PhD in Computational Chemistry, Cheminformatics, Medicinal Chemistry, or a related field. Candidates with equivalent experience may also be considered. These C-CAMP Chemistry Jobs are suited to applicants with strong computational and chemical-data expertise.
- Job Responsibilities:
- Perform molecular docking, pharmacophore modelling, and molecular similarity analysis.
- Conduct virtual screening to identify compounds for further testing.
- Use computational chemistry tools to support drug discovery.
- Analyse structure–activity relationships (SAR) to guide compound design.
- Manage chemical structures, compound properties, and experimental data.
- Work with medicinal chemists and AI/ML scientists on research projects.
- Required Skills:
- Knowledge of cheminformatics tools such as RDKit.
- Experience with molecular modelling and docking software.
- Understanding of medicinal chemistry and drug-like properties.
- Python programming for chemical data analysis.
- Knowledge of structure–activity relationships and compound optimisation.
- Familiarity with molecular dynamics, free-energy methods, and machine learning.
2. Machine Learning Scientist
- Number of Positions: 01
- Educational Qualification: PhD in Computational Chemistry, Computer Science, Bioinformatics, Physics, Statistics, or a related quantitative field. Equivalent demonstrated experience may also be considered.
- Job Responsibilities:
- Develop AI and machine learning models for drug discovery.
- Predict molecular properties such as ADMET, potency, and selectivity.
- Apply machine learning to identify and prioritise promising compounds.
- Work on generative chemistry and virtual screening.
- Analyse chemical and biological datasets.
- Collaborate with medicinal chemists to improve compound design.
- Required Skills:
- Python programming and machine learning frameworks.
- Knowledge of PyTorch, TensorFlow, or scikit-learn.
- Understanding of cheminformatics tools such as RDKit.
- Familiarity with SMILES, molecular fingerprints, and chemical representations.
- Experience in predictive modelling and chemical data analysis.
- Knowledge of QSAR/QSPR, molecular docking, or generative chemistry.
How to Apply for C-CAMP Computational Chemistry Jobs?
Interested and eligible candidates must send their updated CV by email.
- Email Address: [email protected]
- Email Subject: Mention the exact position you are applying for:
- Computational/Cheminformatics Scientist
- Machine Learning Scientist
- Application Deadline: 31 October 2026
These C-CAMP Chemistry Jobs offer opportunities for candidates interested in Computational Chemistry, Cheminformatics, and AI-driven drug discovery. Those with the required advanced qualifications and practical computational skills can explore these positions and apply before the deadline.
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