Biomedical Data Analyst

7 days ago

Bengaluru, Karnataka, India beBeeData Full time ₹ 1,00,00,000 - ₹ 1,50,00,000
Job Title: Science Informatics Consultant

We are seeking a skilled Science Informatics Consultant to join our team. As a consultant, you will design and deliver innovative AI-enabled solutions to support life sciences clients' R&D initiatives.

You will leverage expertise in biomedical data science, bioinformatics, computational biology, and scientific informatics to bridge stakeholders and drive strategic impact.

Key Responsibilities:
  • Bridging business, IT, and scientific domains to create solution roadmaps, actionable initiatives, and scalable solutions that drive strategic impact.
  • Supporting new business development by expanding the footprint of our science, data, AI, and technology solutions and services within existing and new clients.
  • Collaborating closely with sales teams, providing presales technical and functional expertise, creating pitch presentations for prospective clients.
  • Preparing proposals, project estimations, and responses to RFIs and RFPs, ensuring alignment between client requirements and our capabilities.
  • Developing statements of work (SOWs) and ensuring smooth transitions 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.
Qualifications:
  • Advanced degree (M.Sc. with 5+ years / Ph.D. with 3+ years) in Bioinformatics, Computational Biology, or related field with proven consulting experience 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 narratives.

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