Bioinformatics Solutions Expert

2 days ago


Salem, Tamil Nadu, India beBeeBiotechnology Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Drive Impact in Life Sciences

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Excelra is a global leader in scientific services. As a consultant, you will play a pivotal role in applying domain and technology expertise to design and deliver innovative solutions that help life sciences clients succeed with their R&D initiatives.

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  • You will bring expertise in biomedical data science, bioinformatics, computational biology, and scientific informatics to bridge science, technology, and business stakeholders.
  • Proactively identify and respond to client needs, authoring and delivering impactful proposals, and staying engaged through successful delivery.
  • Translate clients' scientific and operational needs into solution roadmaps, actionable initiatives, and scalable solutions that drive strategic impact.
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Key Responsibilities:

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  • Bridge business, IT, and scientific domains to drive strategic impact.
  • Support new business development by expanding the footprint of Excelra's science, data, AI, and technology solutions and services within existing and new clients.
  • Lead the preparation of proposals, project estimations, and response to RFIs and RFPs, ensuring alignment between client requirements and 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, and billing to manage risk and profitability.
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Requirements:

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  • Advanced degree 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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