
Data Science Consultant
2 days ago
Excelra is a global scientific services leader with 70% of its talent being scientists. The organization delivers actionable insights combining deep scientific knowledge, understanding of data, AI, and technology to accelerate drug discovery and development decision support.
Your mission as a Data Science Consultant:
You will play a pivotal role in applying domain and technology expertise to design and deliver innovative, AI-enabled solutions that help life sciences clients succeed with their R&D initiatives.
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.
- 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.
Requirements:
- 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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