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Accenture mid-level AI role in metros with broad skills and strong brand increases applicant competition.
Strong life sciences datasets and pharma domain expertise limit cross-industry transferability.
Requires 4-8 years, pharma domain expertise, and mandatory GenAI/technical stack, making filters stringent.
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Lead design and implementation of GenAI, RAG, Agentic AI, and AI/ML solutions for healthcare and life sciences clients.
Manage communications and delivery of consulting projects, either as part of a team or individual contributor, driving value through data-driven recommendations and strategic advice.
Co-lead proposals and business development efforts while supporting transformational change plans aligned with client business strategies.
4+ years of experience working on Life Sciences/Pharma/Healthcare projects.
Bachelor’s or Master’s degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or related quantitative field.
Strong hands-on expertise with GenAI, Agentic AI, Python, SQL, and AI/ML; experience with healthcare datasets (e.g., Komodo, RAVE, IQVIA, Truven, Optum).
Experience with cloud platforms (AWS, Azure, GCP) for deploying AI models and familiarity with data visualization tools like Power BI or Tableau.
Strategic consultant comfortable engaging with global clients independently and collaborating across diverse cross-functional teams including data engineering and business intelligence.
Domain-expert in life sciences with strong technical background in GenAI and AI/ML applications tailored to healthcare data and business processes.
Experienced in integrating design thinking and business process optimization to deliver measurable business outcomes in fast-paced, dynamic environments.