Lead Solutions Architect
Join us and contribute to the discovery of medicines that will impact lives!
About Aganitha
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.
Aganitha (अगणित): “countless” or “limitless” in Sanskrit serves as a reminder and inspiration about the limitless potential in each one of us. Come join us to bring out your best and be limitless!
Key Responsibilities
Engage and co-innovate with R&D teams of our Biopharma clients, and collaborate with a team of Biologists, Medicinal Chemists, Computational Chemists, Computational Biologists, Data Scientists, Data Engineers, and Web Developers to create the next generation of innovative computational solutions for drug discovery and development.
- Lead architecture initiatives from inception to completion
- Design and oversee implementation of solutions for BioPharma R&D
- Manage Engineering teams using Agile methodologies
- Enhance reuse with platforms, frameworks, and libraries
- Collaborate with business users to create architecture in alignment with a business need
- Drive scope definition, requirements analysis, functional and technical design, application build, product configuration, unit testing, and production deployment and ensure delivered solutions meet/perform to technical and functional/non-functional requirements.
- Champion the adoption of reusable architecture assets to improve efficiency
- Produce documentation to aid in the understanding of existing architecture solutions
- Advise our technical teams to optimize the recommended product suite in defining, building, and deploying end-to-end solutions
- Lead the translation of the client’s business requirements into systems design
- Drive the development of prototypes and technology demonstrators within microservice architecture, cloud-native solutions
- Design and document system installation and upgrade guides, specifications, and related standards and guide technical team, application specialists
- Design application user guides, document common workflows, prepare training materials and conduct or participate in knowledge-sharing sessions with technical teams
- Design future state reference architectures that will provide a template for teams to achieve security, scalability, reliability, and maintainability
- Design and implement optimal deployment strategies and custom interfaces for integration with customer systems and technologies
- Help customers tackle thorny technical issues by collaborating to create smart, efficient, and effective solutions
- Work closely with customers on the installation, configuration, and update/maintenance of on-premises or cloud-hosted installations of our scientific computing and enterprise software applications
- Collaborate with product managers, developers, and scientists, to improve the deployment, support, and configuration of our applications
Desired Skills / Expertise
- Big data engineering with distributed computing frameworks
- Cloud and DevOps automation
- App dev with modern tech stacks of Python, ReactJS, and fit-for-purpose database technologies
- Experience in directing/building solutions leveraging Machine learning (ML) and AI (Deep learning)
- Excellent communication skills with a desire to work in multidisciplinary teams
Educational Qualifications
- Bachelor’s / Master’s / Ph.D. in Computer Science or related technical field