Capgemini Invent - Life Sciences AI Senior Consultant

Capgemini • Chicago, IL

1d • $105,600 - $199,480

About The Position

At Capgemini Invent, our Data Driven Transformation (DDT) team makes AI work at scale by combining data science and engineering with business consulting. We build context-driven analytics and GenAI/agentic systems that reflect how decisions and work actually happen—grounded in semantic layers, strong data foundations, and governance embedded in decision flows. With a builder-advisor (“forward deployed”) mindset, DDT delivers production-ready impact across operations and customer domains, redefining what enterprise AI advisory looks like in practice.

Requirements

• 5–6 years in life sciences consulting — with meaningful exposure to digital, data, or AI programs
• Solid understanding of GxP validation requirements: IQ/OQ/PQ, CSV, 21 CFR Part 11
• Experience working with or within quality, regulatory, manufacturing, or medical affairs functions
• Ability to translate domain requirements into AI solution specifications
• Track record of managing stakeholder relationships in regulated environments
• Strong AI literacy, including core AI and generative AI concepts, and understand how these capabilities apply to enterprise transformation.
• Ability to identify and support AI‑enabled opportunities that improve business outcomes and delivery effectiveness.
• Experience working in AI‑augmented ways of working to enhance research, analysis, and solution development.
• Collaborate effectively across strategy, technology, data, and design to enable AI‑driven solutions.
• Solid understanding of responsible AI principles such as ethics, privacy, security, and governance.
• Curiosity and a continuous learning mindset around emerging AI capabilities and their practical application in client environments.

Responsibilities

• Own end-to-end domain workstreams across AI engagements, including discovery, use case definition, and solution shaping
• Build trusted relationships with scientific, quality, and operational client stakeholders, acting as a day-to-day advisor
• Design AI use cases that incorporate GxP validation requirements, auditability, and data integrity standards
• Partner with engineering and data teams to translate life sciences requirements into clear technical specifications
• Lead and contribute to validation planning, including IQ/OQ/PQ approaches, CSV frameworks, and risk assessments for AI solutions in regulated environments
• Develop high-quality, domain-rich deliverables such as use case roadmaps, data requirement documentation, and regulatory impact assessments
• Contribute to internal knowledge development, reusable assets, and broader life sciences AI practice growth

Benefits

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed