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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Quantitative Systems Pharmacology (QSP) modeling, with a strong publication record and the ability to lead independent modeling efforts. Proficient in integrating diverse biological and clinical data to inform drug development strategies and decision-making.
Highest-signal resume keywords
Ph.D. In Biomedical EngineeringQSP Modeling ExperienceMatlab ProficiencyPublication Record In QSP ModelingUnderstanding Of Disease Biology
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
QSP ModelingMechanistic Modeling StrategiesData InterpretationModel DevelopmentModel RefinementModeling WorkflowsQuantitative Insights CommunicationStatistical AnalysisData IntegrationModel-Informed Drug Development
Soft Skills
MentoringIndependent WorkCollaborationCommunication
Tools & Technologies
MatlabRJulia
Industry Keywords
Pharmaceutical IndustryBiotechnology IndustryPreclinical DataClinical DataRegulatory InteractionsMIDDNeurologyNeuroinflammationNeurodegeneration
About the role
Key responsibilities & impact- Interface with project teams to align modeling and simulation needs and develop QSP strategy
- Develop and implement innovative mechanistic modeling strategies
- Communicate modeling predictions to key stakeholders to inform strategy and decision-making
- Identify and interpret preclinical and clinical data for model development and refinement
- Stay current with advances in systems pharmacology, disease modeling, and regulatory expectations for model-informed drug development
- Contribute to abstracts and manuscripts
- Perform duties independently with minimal supervision
- Mentor others to develop similar capabilities
- Independently lead QSP modeling efforts
- Integrate diverse biological and clinical data
- Translate model insights into actionable recommendations for project teams
- Partner with research, quantitative pharmacology, and clinical stakeholders
Requirements
What you’ll need- Ph.D. in Biomedical Engineering, Applied mathematics, Systems Biology/Pharmacology or related fields
- ≥6 years of hands-on QSP modeling experience in the pharmaceutical or biotechnology industry, with demonstrated impact on R&D programs
- Track record of productivity and independence in leading scientific projects
- Strong publication record in QSP modeling commensurate with experience
- Hands-on experience with Matlab, R, or Julia; Matlab preferred
- Experience creating and using QSP models to influence go/no-go decisions and competitive differentiation within a pharma setting
- Deep understanding of disease biology within at least one therapeutic area
- Experience applying QSP across multiple programs or drug modalities
- Experience working with heterogeneous preclinical and clinical datasets
- Experience with reproducible, well-documented modeling workflows
- Proven ability to lead modeling workstreams
- Ability to clearly communicate quantitative insights to scientific and non-scientific stakeholders
- Preferred: experience mentoring junior scientists
- Preferred: understanding of neurology, neuroinflammation, and neurodegeneration
- Preferred: exposure to regulatory interactions or documentation involving MIDD
- US and Puerto Rico Residents Only
Benefits
Comp & perks- Supportive, future-focused team
- Opportunities for promotion or lateral career moves, at home or internationally
- Rewards package recognizing contribution and amplifying impact
- Health and wellbeing benefits
- High-quality healthcare
- Prevention and wellness programs
- At least 14 weeks’ gender-neutral parental leave
- Patient engagement in drug development
- Access to cutting-edge AI, data, and digital platforms
