Director/Sr Director Pharmacometrics

About the role

This role is designed for a scientist ready to operate as an enterprise-level scientific leader. The Director/Sr Director Pharmacometrics is expected to define which scientific problems matter (not just to solve them) and to shape PMx strategy across programs, platforms, and the broader organization. This is a high-visibility role with direct influence on drug development decisions, regulatory interactions, and team capability-building.

Responsibilities

• Champion MIDD approaches across programs and platforms, defining and delivering novel PMx strategies that shape drug development decisions.
• Resolve complex technical and scientific challenges with cross-program impact, contributing to exposure-response, dose justification, and regulatory submission strategies in collaboration with PKPD lead and across functions.
• Engage proactively with regulatory agencies through meetings, responses, and advisory interactions.

Qualifications

• PhD in a relevant scientific field such as PMx, biological/pharmaceutical sciences, bioengineering, biostatistics, computer science/engineering, data science, or a related discipline. with 5 years post PhD experience.
• Experience in population PKPD modeling, across multiple programs or development phases.
• Experience in NONMEM and/or Monolix, and R.

Additional Skills & Preferences

• Experience with mrgsolve, Julia, Phoenix NLME, and/or MATLAB is highly valued.
• Demonstrated ability to translate quantitative modeling outputs into clear scientific and regulatory narratives for cross-functional and non-specialist audiences.
• Proven track record of influencing drug development decisions and regulatory strategy through PMx analyses, with evidence of impact beyond a single project.
• MIDD Experience shaping technical strategy across programs or platforms, including involvement in regulatory submissions, health authority interactions, or cross-functional governance bodies.
• Strong mentorship and coaching skills, with experience developing the capabilities of more junior scientists.
• Active engagement with AI and automation in a PMx context, including hands-on experience with tools, a genuine curiosity for what's possible, and the judgment to translate innovation into practical scientific value.