
Senior Scientific Business Developer
2 days ago
Our scientific approach is driven by data-driven insights and a focus on impactful outcomes. As a global leader in scientific services, we combine deep knowledge with AI and technology to accelerate drug discovery and development.
At our organization, you'll contribute to making a meaningful impact on human health by harnessing domain and technology expertise to design and deliver innovative solutions that drive success for our life sciences clients in their R&D initiatives. Your mission will involve bringing expertise in biomedical data science, bioinformatics, computational biology, and scientific informatics to bridge stakeholders, identify client needs, author impactful proposals, and ensure successful delivery.
Key Responsibilities:- Translate clients' scientific and operational needs into solution roadmaps, actionable initiatives, and scalable solutions that drive strategic impact across business, IT, and scientific domains.
- Develop new business opportunities by expanding the footprint of our science, data, AI, and technology solutions within existing and new clients, closely collaborating with sales teams.
- Lead the preparation of proposals, project estimations, and responses to RFIs and RFPs, ensuring alignment between client requirements and our capabilities.
- Develop statements of work (SOWs) and ensure smooth transition from presales to project execution by operations teams.
- Stay abreast of industry trends, emerging technologies, best practices in bioinformatics, AI, platform engineering, and data sciences.
- Advanced degree (M.Sc. with 5+ years / Ph.D. with 3+ years) in Bioinformatics, Computational Biology, or related field with proven track record of consulting in biopharma services organizations.
- Experience in bioinformatics services, presales, or customer-facing roles in Life Sciences or Biotech; Strong background in bioinformatics tools, OMICs data, and applications of AI/ML in life sciences.
- Strong understanding of biotech and pharmaceutical data, workflows, and informatics systems across drug discovery, translational, clinical and real-world data, with the ability to articulate strategic and operational impact of data and AI-driven solutions.
- Proven experience collaborating with cross-functional teams in a global, matrix organization.
- Strong interpersonal and communication skills, with the ability to synthesize complex scientific and technical concepts into simple, compelling, client-facing narratives.
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