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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in mechanistic modeling and simulation methodologies, particularly in the context of drug development and clinical pharmacology. Proven ability to collaborate across disciplines and communicate complex scientific concepts effectively.
Highest-signal resume keywords
PhD, MD, Or PharmDMechanistic Mathematical ModelingScientific Machine LearningModel-Informed Drug Discovery And DevelopmentClinical Pharmacology
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Inverse Problem ModelingStatistical TechniquesBiological ModelingPathophysiological ModelingTrial Design AssessmentSimulation MethodologiesDrug-Disease SystemsDisease Progression ModelingPharmacometricsQSP And QST Modeling
Soft Skills
CollaborationCommunicationStakeholder EngagementStrategic PlanningTransparency
Industry Keywords
Pharmaceutical ResearchClinical DevelopmentAIMLHepatologyRespiratory DiseasesCardiometabolic Diseases
About the role
Key responsibilities & impact- Build and/or guide mathematical models to understand disease progression and drug action
- Conduct simulations to assess trial-design performance
- Apply mechanistic models of biological, physiological, and pathophysiological processes
- Develop and/or use mathematical tools including inverse-problem modeling, scientific ML, and statistical techniques
- Define and execute coordinated scientific and technical strategies over a 3–24 month planning horizon
- Coordinate outputs from multiple expertise areas to determine strategy
- Collaborate with biologists, clinicians, clinical pharmacologists, pharmacometricians, statisticians, AIML, imaging, biomarker, and partner-line colleagues
- Implement best practices, trends, and lessons learned to advance clinical pharmacology modeling and simulation contributions
- Create collaboration frameworks with internal and external experts
- Apply emerging modeling and simulation methodologies to improve clinical-program efficiency and investment decisions
- Interact with line and middle management, staff, and external contacts at functional, strategic, and tactical levels
- Represent QSP CPQM on internal advisory boards, companywide initiatives, and leadership teams
- Promote transparency and communicate R&D achievements through scientific publications
Requirements
What you’ll need- PhD, MD, or PharmD with experience in mechanistic modelling and simulation and systems biology applied to pharmaceutical research and development
- Minimum 7 years of experience in mechanistic mathematical modeling, inverse problem modeling and simulation, and/or scientific machine learning methodologies applied to pre-clinical and/or clinical drug-development questions
- Experience working with senior stakeholders in a cross-functional environment
- Track record of implementing Model-Informed Drug Discovery and Development (MIDD) approaches
- Experience building mechanistic mathematical models
- Experience in QSP and/or QST modeling, clinical pharmacology, and pharmacometrics
- Knowledge of scientific ML, inverse problems, AIML, and/or statistical methodologies
- Experience with drug-disease systems, mechanisms, endpoints, disease progression, prevention, treatments, and trial design
- Prior experience in Hepatology, Respiratory and/or Cardiometabolic diseases is a plus
Benefits
Comp & perks- Annual bonus
- Eligibility to participate in share-based long-term incentive program
- Health care and other insurance benefits for employee and family
- Retirement benefits
- Paid holidays
- Vacation
- Paid caregiver/parental and medical leave
- Comprehensive benefits program for US employees
- Reasonable accommodation or other assistance to apply