[3 Days Left] Consultant-Life Science Informatics

Science led. Data driven. Outcomes focused. Excelra, a global scientific services leader with 70% of our 650+ talent being scientists, delivers actionable insights combining deep scientific knowledge, understanding of data, AI, and technology, to accelerate drug discovery and development decision support. Our scientists speak code. Our engineers speak science. We live the values of trust, transparency, teamwork, integrity and commitment. When you join Excelra, you will make an impact on human health.

Your mission :

As a consultant, you will play a pivotal role in applying domain and technology expertise to design and deliver innovative, AI-enabled solutions that help our life sciences clients succeed with their R&D initiatives. You will bring expertise in biomedical data science, bioinformatics, computational biology, and scientific informatics, to bridge science, technology and business stakeholders, proactively identifying and responding to client needs, authoring and delivering impactful proposals, and staying engaged through successful delivery. You will help us win better, faster!

Specific responsibilities include :

• Translating clients’ scientific and operational needs into solution roadmaps, actionable initiatives and scalable solutions that drive strategic impact by bridging business, IT, and scientific domains.
• Supporting new business development by expanding the footprint of Excelra’s science, data, AI, and technology solutions and services within existing and new clients, working closely with sales. Specifically :
• Collaborate closely with the sales team, providing presales technical and functional expertise, creating pitch presentations to prospective clients.
• Lead the preparation of proposals, project estimations, and response to RFIs and RFPs, ensuring alignment between client requirements and Excelra's capabilities.
• Develop statements of work (SOWs) and ensure smooth transition from presales to project execution by operations teams.
• Staying abreast of industry trends, emerging technologies, best practices in bioinformatics, AI, platform engineering, and data sciences.
• Knowledge of engagement economics, delivery, budgeting, & billing to manage risk and profitability

Qualifications :