This role will lead a Hyderabad-based team that delivers production-grade, reproducible workflows across multi-omics and related data types, and will help modernize the bioinformatics stack for the AI era, including responsible adoption of deep learning, foundation models, and agentic workflow patterns where appropriate.
The ideal candidate combines deep bioinformatics, AI/ML and software engineering expertise with strong scientific judgment and a track record of leading teams in regulated or quality-driven environments. They will partner closely with computational biologists, biomarker scientists, translational researchers, data engineers, and platform leaders across global time zones to translate complex biological data into robust, scalable, and auditable data products and analyses.
**Key Responsibilities**
**Technical and architectural leadership**
+ Own the technical direction and architecture for production bioinformat...