Member of McKinsey's global scientific AI team
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Summary
Senior scientific AI/biostatistics expert joining McKinsey's global team in Budapest: staffing Life Sciences R&D client studies, architecting AI-driven clinical trial solutions, publishing research, and mentoring junior colleagues. Core areas: clinical biostatistics, machine learning, LLMs, causal inference.
- Building and leading McKinsey's forward-looking capabilities to transform clients' innovation engines
- Bringing distinctive statistical knowledge to complex client Life Sciences R&D challenges through part-time staffing on client studies with a multi-disciplinary team
- Driving proposal processes and participating in client negotiations by identifying end-to-end opportunities to transform Life Sciences R&D and architecting solutions that address specific client needs
- Advancing the latest thinking in scientific AI and generating a steady stream of whitepapers, scientific publications and keynote speeches in top scientific and AI conferences and journals
- Establishing an external network and playing a lead role in external reputation building
- Attracting and retaining junior colleagues by mentoring them to expand their scientific AI knowledge and impact
- Advanced degree – PhD in Biostatistics, Statistics, or a closely related quantitative discipline or an MD with strong biostatistical training
- Mastery of fundamental concepts in clinical biostatistics
- Up-to-date knowledge on latest ideas and publications in clinical biostatistics
- Deep understanding of developing statistical analysis plans (SAPs) in pharma
- Experience of clinical trial simulation
- Experience with adaptive clinical trials
- Experience with Bayesian network meta-analysis
- Experience with platform clinical trials
- Deep understanding of data sources, AI methods and related analytical technologies including AI principles, deep learning, machine learning (supervised or unsupervised), causal inference, large language models, foundation models, diffusion models, reinforcement learning, and knowledge graphs
- Ability to develop new-to-world solution architecture blueprints and decompose the end-state solution into incremental releases
- Track record of innovation at the intersection of AI and clinical trial design / biostatistics
- Track record of recent leadership and engagement in the external ecosystem via publications, conference participation, keynote speeches, and connectedness with academia and/or industry
- Experience managing direct reports or a complex network of internal and external stakeholders
- Compelling communication skills with track record of translating technical methods to non-technical executive stakeholders
- Continuous learning with structured programs and apprenticeship culture
- A voice that matters from day one with valued ideas and contributions
- Global community with colleagues across 65+ countries and over 100 different nationalities
- World-class benefits including competitive salary based on location, experience, and skills and a comprehensive benefits package