Define which scientific problems matter and shape PMx strategy across programs, platforms, and the broader organization
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
Inspire and elevate the scientists around you through scientific leadership, mentorship, and good examples
Mentor scientists at all levels, building technical depth, scientific judgment, and confidence in others
Champion adoption of automation tools and AI/ML approaches that deliver pragmatic, scalable value across the department and beyond
Build PMx’s external reputation through publications and scientific leadership in industry and regulatory forums
Communicate complex science with executive presence to diverse audiences, from project teams to senior leadership
Requirements
PhD in a relevant scientific field such as PMx, biological/pharmaceutical sciences, bioengineering, biostatistics, computer science/engineering, data science, or a related discipline
5 years post PhD experience
Experience in population PKPD modeling, across multiple programs or development phases
Experience in NONMEM and/or Monolix, and R
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
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
Strong organizational and self-management skills, with the ability to manage a complex portfolio and prioritize for maximum scientific impact.
Benefits
company bonus (depending, in part, on company and individual performance)
eligibility to participate in a company-sponsored 401(k)
pension
vacation benefits
eligibility for medical, dental, vision and prescription drug benefits
flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts)
life insurance and death benefits
certain time off and leave of absence benefits
well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities)