Company Description Aganitha applies advanced AI to accelerate scientific innovation for global biopharma, consumer care, and material science organizations. The team combines data-driven agentic and generative AI with multi-omics and physics-based simulations to support the full biopharma R&D; value chain, from target and biomarker discovery through therapeutic design, formulation, and patient stratification. Aganitha works across diverse therapeutic areas, including immunology, metabolic and cardiovascular disorders, rare genetic diseases, oncology, neuroscience, and infectious diseases, turning complex data into actionable insights.

Its flagship Igniva™ Agentic AI platform encapsulates over eight years of global R&D; collaboration experience into reusable scientific workflows that scale across teams and programs. For consumer care and material science, Aganitha’s solutions enable next-generation formulations through integrated AI, simulation, and multi-omics approaches.

Role Description The Scientific Business Development Lead will drive growth by identifying, developing, and closing opportunities with biopharma, consumer care, and material science clients, with a strong focus on AI-enabled R&D; solutions. This full-time, on-site role in Hyderabad involves working closely with scientific, technical, and commercial stakeholders to understand client R&D; challenges and translate them into tailored solution proposals based on Aganitha’s platforms and services. Day-to-day responsibilities include prospecting and qualifying leads, conducting discovery meetings,



preparing and delivering scientific and business presentations, and managing the end-to-end sales cycle.

The role also includes collaborating with internal scientific and product teams to shape offerings, contributing to go-to-market strategies, and maintaining long-term client relationships through account management and strategic planning.

The Scientific Business Development

Lead will be expected to track market trends, gather competitive intelligence, and provide feedback that informs product roadmap and positioning.

Qualifications

- Solid analytical skills, with the ability to interpret complex scientific and business data and convert insights into clear value propositions.
- Excellent communication and presentation skills for engaging scientific, technical, and executive stakeholders, both written and verbal.
- Laboratory skills and hands-on exposure to experimental or computational workflows in life sciences or related disciplines are beneficial.
- Experience in Research and Development (R&D;) and research, ideally in biopharma, life sciences, or materials science, with familiarity in AI or data-driven approaches.
- Background in a scientific field such as biology, biotechnology, chemistry, pharmacology, materials science, or a related discipline; an advanced degree is a plus.
- Proven experience in business development, sales, or customer-facing scientific consulting, preferably with global clients.
- Ability to work cross-functionally with scientific, product, and engineering teams and manage multiple opportunities in parallel.
- Comfort with AI

📌 Scientific Business Development Lead (Hyderabad)
🏢 Aganitha
📍 Hyderabad