Director, Economic & Predictive Modeling, GHEOR

Role Summary

Director, Economic & Predictive Modeling, GHEOR. Provide expert modelling, AI, and programming capabilities to GHEOR teams; lead market-level CE model adaptations using the BMS GHEOR EPM Generative AI tool suite. Drive innovative HTA methods through research, publications, and external talks to shape HTA and payer environments, with a primary focus on AI methods for access & HEOR. Serve as a scientific leader and matrix collaborator, and participate in Model Protocol Review Committee.

Responsibilities

• Develop innovative HTA methods that deliver rapid access for BMS medicines, focusing on AI capabilities that increase speed to patient and reduce operating costs.
• Lead the external strategy to evolve payer/HTA agency methodology in the assessment of the value of BMS Neuroscience and Immunology / Cardiovascular portfolio.
• Act as scientific leader for the latest modelling methodology that optimises the assessment of BMS Neuroscience and Immunology / Cardiovascular assets.
• Horizon scan latest advances in HTA methodology from academia, payers and competitors, embedding key learnings.
• Partner with global asset leads and BMS affiliates to implement the AI-based model adaptations program, working effectively with the internal EPM contractor team.
• Deliver hands-on structural updates to economic models.
• Provide expert-level support in the development of cost-effectiveness and budget impact models in collaboration with cross-functional local, regional and global teams.
• Provide early HEOR analytics to inform pricing strategies for CE archetypes as requested.
• Provide modelling input to Value Story development and updates.
• Interpret clinical study results and plan additional statistical analyses needed for core models and model adaptations, including indirect treatment comparisons.
• Engage in timely and effective communication to HTA and reimbursement authorities as requested/required by matrix teams.
• Lead publications of core global economic models and contribute thought leadership on modelling internally and externally to shape the HTA environment and standards.

Qualifications

• Experience using Visual Basic, and software including R, Python, OpenBUGS and JAGS, with the ability to program, interpret, and modify existing code.
• Lead projects as the subject-matter expert, providing strategic direction and overseeing execution to ensure successful outcomes.
• Project management skills with the ability to communicate effectively across all levels of the matrix.
• Successful development of model development for HTA submissions, including adaptations for country needs.
• Innovative methods evidenced by published research.
• Experience in leading research and presenting at conferences as well as to internal matrix stakeholders and senior leaders.
• Significant and detailed understanding of generative AI techniques and tools to automate HEOR & Access workflows, with a focus on minimising biases and inaccuracies.
• Previous experience in Neuroscience and Immunology / Cardiovascular is desirable though not mandatory.

Education

• Doctorate Degree (PhD) or Master's (MSc) in health economics or related relevant discipline and 10+ years of health economics and outcomes research experience.

Skills

• Experience working across a broad matrix of internal functions (GHEOR, Global Biostats, Medical, Clinical Research, Commercial, Policy, Market Access and Pricing).
• R and/or Python.
• VBA.
• OpenBUGS and/or WinBUGS and/or JAGS.
• Statistical skills in advanced survival analyses and relative effectiveness assessments (NMAs, MAICs, STCs, Bucher, ML-NMR).