
Consultant, Technology Consulting
2 weeks ago
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 informatic s, 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:
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; AI & Gen AI qualifications are a plus.
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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