Associate Director, Quantitative Systems Pharmacology
GSK
August 18, 2026
On-site
Waltham, MA
Clinical Research and Development
Role Responsibilities:
- Build and utilize QSP models of biological, physiological, and pathophysiological processes to evaluate disease pathways/progression and drug candidates/treatment modalities.
- Collaborate with biologists, clinicians, clinical pharmacologists, pharmacometricians, QSP and nonclinical modelers to inform R&D programs and improve understanding of disease mechanisms.
- Serve as QSP modeling & simulation point-of-contact on project teams; contribute to preclinical and clinical study design and mechanistic interpretation of data.
- Develop and/or utilize state-of-the-art mathematical tools to understand causal relationships between system-level and drug-level responses (drug-target-biomarker-disease-patient interaction).
- Analyze and interpret complex data sets in the context of disease mechanisms and pathways.
- Explore new QSP opportunities by combining QSP with other analytical approaches (e.g., human genetics and functional genomics).
- Provide scientific and strategic oncology therapeutic area expertise to deliver quantitative support for clinical development decision-making.
- Perform verification & validation of QSP models through context-driven review of goals, assumptions, methodology, code, outputs, and uncertainty quantification.
Qualifications (Required):
- PhD in Applied Mathematics, Engineering, Pharmaceutical Sciences, Systems Biology, or related field with experience applying mathematical and statistical methods.
- Experience in mathematical modeling/simulation theory and statistical aspects (numerical methods, parameter estimation/optimization, ODEs) for complex biological pathway/system models.
- Computational experience with modeling/simulation tools or programming languages (e.g., MATLAB, R, Julia, SimBiology, C/C++).
- Experience with quantitative clinical pharmacology tools (e.g., NONMEM, R, WINNONLIN, Simcyp, SAS).
- Experience developing mechanistically sound PK-PD models.
- Ability to translate/summarize modeling & simulation outcomes for project teams.
Qualifications (Preferred):
- Familiarity with modeling methods, guidelines, and best practices.
- Familiarity with oncology drug development practices.
Benefits (explicitly stated):
- Health care/insurance, retirement benefits, paid holidays and vacation, and paid caregiver/parental and medical leave.
Compensation (explicitly stated):
- Annual base salary range: $151,500 to $252,500 (plus annual bonus and eligibility for share-based long-term incentive).
Application instructions:
- N/A in provided text.
- Build and utilize QSP models of biological, physiological, and pathophysiological processes to evaluate disease pathways/progression and drug candidates/treatment modalities.
- Collaborate with biologists, clinicians, clinical pharmacologists, pharmacometricians, QSP and nonclinical modelers to inform R&D programs and improve understanding of disease mechanisms.
- Serve as QSP modeling & simulation point-of-contact on project teams; contribute to preclinical and clinical study design and mechanistic interpretation of data.
- Develop and/or utilize state-of-the-art mathematical tools to understand causal relationships between system-level and drug-level responses (drug-target-biomarker-disease-patient interaction).
- Analyze and interpret complex data sets in the context of disease mechanisms and pathways.
- Explore new QSP opportunities by combining QSP with other analytical approaches (e.g., human genetics and functional genomics).
- Provide scientific and strategic oncology therapeutic area expertise to deliver quantitative support for clinical development decision-making.
- Perform verification & validation of QSP models through context-driven review of goals, assumptions, methodology, code, outputs, and uncertainty quantification.
Qualifications (Required):
- PhD in Applied Mathematics, Engineering, Pharmaceutical Sciences, Systems Biology, or related field with experience applying mathematical and statistical methods.
- Experience in mathematical modeling/simulation theory and statistical aspects (numerical methods, parameter estimation/optimization, ODEs) for complex biological pathway/system models.
- Computational experience with modeling/simulation tools or programming languages (e.g., MATLAB, R, Julia, SimBiology, C/C++).
- Experience with quantitative clinical pharmacology tools (e.g., NONMEM, R, WINNONLIN, Simcyp, SAS).
- Experience developing mechanistically sound PK-PD models.
- Ability to translate/summarize modeling & simulation outcomes for project teams.
Qualifications (Preferred):
- Familiarity with modeling methods, guidelines, and best practices.
- Familiarity with oncology drug development practices.
Benefits (explicitly stated):
- Health care/insurance, retirement benefits, paid holidays and vacation, and paid caregiver/parental and medical leave.
Compensation (explicitly stated):
- Annual base salary range: $151,500 to $252,500 (plus annual bonus and eligibility for share-based long-term incentive).
Application instructions:
- N/A in provided text.