Degree in Computer Engineering
AI technology, Cheminformatics, Data Modeling, Effective communication skills, Hypothesis testing, Large data sets, Python Programming, R-Shiny, Scala Programming, Spotfire, SQL, Statistical modeling
Accelerate drug discovery and development for Biopharma and Biotech R&D with in silico solutions leveraging Computational Biology & Chemistry, High throughput Sciences, AI, ML, HPC, Cloud, Data, and DevOps.
In silico solutions are transforming the biopharma and biotech industries. Our cross-domain science and technology team of experts embark upon and industrialize this transformation. We continually expand our world-class multi-disciplinary team in Genomics, AI and Cloud computing, accelerating drug discovery and development. What drives us is the joy of working in an innovation rich, research powered startup bridging multiple disciplines to bring medicines faster for human use. We are working with several innovative Biopharma companies and expanding our client base globally. Read about how and what solutions we build.
Key Responsibilities
Work with R&D teams of our Biopharma clients, and collaborate with a team of Biologists, Medicinal Chemists, Computational Chemists, Data Scientists, Data Engineers, Web Developers, Cloud Engineers, and Solution Architects to create the next generation of innovative computational biology solutions for drug discovery and development.
Desired Skills
At Aganitha, we partner with global bio-pharma to complement the traditional lab based approaches with in-silico approaches to research and development. We develop and deploy AI, data and cloud powered solutions that efficiently tackle the complexity, scale and richness of modern biopharma R&D domains. We adopt multi-disciplinary approaches blending and translating the latest knowledge in Biology, Chemistry, Computing and BioPharma Business.