Scientist (Bioinformatics & Computational Biology)

Join Aganitha and contribute to the discovery of medicines that will impact lives! Located in Hyderabad, India, Aganitha accelerates drug discovery and development for Biopharma and Biotech R&D through in silico solutions leveraging Computational Biology & Chemistry, High throughput Sciences, AI, ML, HPC, Cloud, Data, and DevOps. Our cross-domain science and technology team of experts industrializes this transformation, expanding our world-class multi-disciplinary team in Genomics, AI, and Cloud computing to accelerate drug discovery and development. We take pride in bridging multiple disciplines to bring medicines faster for human use, working with innovative Biopharma companies and expanding our client base globally. Key Responsibilities: - Develop and apply AI & computational models in SMOL, mAb, Gene & RNA therapy design and development. - Conduct disease studies to identify new targets, uncover mechanisms of action, and stratify patient populations using Single-cell multi-omics, Whole genome sequencing, Proteogenomics, and High-throughput pre-clinical experimentation datasets. - De novo design, characterization, and optimization of therapeutic candidates in silico using computational omics and chemistry models and AI, such as Antibody engineering, RNA design and optimization, and Viral Vector optimization for advanced cell and gene therapies. - Analyze and optimize bio-synthesis reactions using the power of AI/ML and computational modeling of underlying cellular processes. Educational Qualifications: - Ph.D. candidates in Computational biology or related field. Join Aganitha and contribute to the discovery of medicines that will impact lives! Located in Hyderabad, India, Aganitha accelerates drug discovery and development for Biopharma and Biotech R&D through in silico solutions leveraging Computational Biology & Chemistry, High throughput Sciences, AI, ML, HPC, Cloud, Data, and DevOps. Our cross-domain science and technology team of experts industrializes this transformation, expanding our world-class multi-disciplinary team in Genomics, AI, and Cloud computing to accelerate drug discovery and development. We take pride in bridging multiple disciplines to bring medicines faster for human use, working with innovative Biopharma companies and expanding our client base globally. Key Responsibilities: - Develop and apply AI & computational models in SMOL, mAb, Gene & RNA therapy design and development. - Conduct disease studies to identify new targets, uncover mechanisms of action, and stratify patient populations using Single-cell multi-omics, Whole genome sequencing, Proteogenomics, and High-throughput pre-clinical experimentation datasets. - De novo design, characterization, and optimization of therapeutic candidates in silico using computational omics and chemistry models and AI, such as Antibody engineering, RNA design and optimization, and Viral Vector optimization for advanced cell and gene therapies. - Analyze and optimize bio-synthesis reactions using the power of AI/ML and computational modeling of underlying cellular processes. Educational Qualifications: - Ph.D. candidates in Computational biology or related field.