Kshama Goyal
Director of Bioinformatics, Velsera
- Role
- Director of Bioinformatics at Velsera
- Location
- Hyderabad, TG, IN
- LinkedIn followers
- 500 followers
About Kshama Goyal
As a leader with a Ph.D. and 13+ years of experience, I drive the strategic integration of Multimodal AI, Multi-omics, and Imaging to accelerate precision medicine. I lead high-performing teams in deploying cloud-native, AI-enabled pipelines and Foundation Models that translate complex biological data into scalable enterprise solutions. By bridging technical depth with operational excellence, I partner across R&D and Technology to deliver high-impact scientific insights and intelligent automation. My focus remains on fostering cross-functional innovation and building the computational frameworks that shape the future of drug discovery and clinical strategy.
Experience
Director of Bioinformatics
Feb 2026 — Present · Hyderabad, IN
As Director of Bioinformatics at Velsera, I lead the strategic integration of scientific innovation, AI, and operational excellence to drive measurable organizational impact. I bring deep experience in artificial intelligence, foundation models, multi-omics analytics, and imaging informatics, translating complex data into actionable scientific and clinical insights.I build and mentor high-performing teams while fostering strong cross-functional collaboration across Business Units, Technology, and R&D. My focus is on delivering complex, high-value client engagements and advancing capabilities in deep learning, NLP, multimodal AI, and large language models (LLMs).Through a strong customer-centric and innovation-driven approach, I ensure our bioinformatics and AI/ML solutions accelerate discovery, enable precision insights, and position the organization at the forefront of next-generation, multimodal scientific intelligence.
Education
Centre for DNA Fingerprinting and Diagnostics (CDFD)
Ph.D, Bioinformatics
2001 — 2006
Jawaharlal Nehru University
M. Sc., Biotechnology
1999 — 2001
Skills
- Bioinformatics
- Perl
- Protein Chemistry
- Unix Shell Scripting
- Molecular Biology
- Linux
- Text Mining
- Lifesciences
- Programming
- Biotechnology
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