About QPIAI India Pvt. Ltd.
QPIAI India Pvt. Ltd. is a next-generation technology company focused on Artificial Intelligence, Quantum Computing, and advanced IT innovation. At QPIAI, we believe that great ideas grow in the right environment. Our culture is built on flexibility, collaboration, and continuous learning, supported by a strong commitment to employee well-being and work–life balance. We provide a workplace that encourages creativity, fosters professional growth, and empowers people to take ownership of impactful projects.
We are proud to be a company where innovation meets opportunity—where passionate professionals come together to solve complex challenges and shape the future of technology. With our rapid expansion across India, Dubai, and Singapore, we are actively looking for individuals who share our mission and vision.
If you are driven by curiosity, inspired by cutting-edge technologies, and eager to contribute to a global tech journey, QPIAI is the place to grow, lead, and make a meaningful impact.
Qualification:
MTech/MSc in Computational Biology / Bioinformatics (2+ years experience preferred)
Job Summary
We are looking for highly skilled Computational Biology Researchers to develop and validate computational biology pipelines and scientific features for our platform. This role focuses on advancing our scientific understanding through computational methodologies in drug discovery pipeline and workflow development in collaboration with product and engineering teams.
Key Responsibilities:
1) Target Discovery & Systems Biology
- Target identification using multi-omics, literature, and public datasets
- Pathway analysis, network biology, functional enrichment, disease biology context
- Build reproducible pipelines for biological data integration and interpretation
- Required Skillset:
Omics/systems biology, Python/R, biological databases and pathway tools
2) Computer aided Drug Discovery (CADD)
- Similarity search, QSAR/QSPR, scaffold hopping, pharmacophore workflows
- SAR analysis, chemical space exploration, clustering, diversity selection
- Compound library + assay data curation for screening and modeling
- Protein structure preparation, binding site analysis, pocket characterization
- Docking workflows and post-docking analysis, MD simulation(poses, interactions, ranking)
- Benchmarking and validation of structure-based pipelines
- Required Skillset:
RDKit + Python, fingerprints/descriptors, assay data cleaning and analysis
