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:
You will bring expertise in biomedical data science, bioinformatics, computational biology, and scientific informatic
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.
