Senior Director, Quantitative Systems Pharmacology – Oncology (Hybrid or Remote)
Merck
August 19, 2026
Remote friendly (Rahway, NJ)
United States
Clinical Research and Development
Primary Responsibilities:
- Lead and shape the QSP strategy across the oncology portfolio, aligning with program goals and organizational priorities.
- Lead, mentor, and develop a team of quantitative scientists in a matrixed role.
- Collaborate with QP2 Oncology, preclinical DMPK and modeling, biologists, clinicians, and other functions to apply mechanistic/QSP modeling for dose selection, combination strategies, and clinical trial design.
- Ensure high-quality, regulatory-grade QSP deliverables for internal decisions, submissions, and scientific advice meetings.
- Contribute to regulatory strategy via QSP reports, briefing documents, and presentations.
- Foster scientific rigor, collaboration, innovation, and develop best practices for QSP modeling.
- Partner with senior leaders in Translational Modeling, Discovery, and Clinical Development to define modeling strategies influencing program design and key decisions.
- Represent the company at conferences and external collaborations/consortia/working groups.
- Stay current on emerging QSP methodologies and promote innovation.
- Manage budget planning, QSP vendor identification, outsourcing, and contract requisitions.
Minimum Education Required:
- Ph.D. plus 10+ years pharmaceutical drug development experience (systems pharmacology/systems biology/PKPD/mathematics/chemical or biomedical engineering or related).
- OR Masters or PharmD plus 15+ years with increasing responsibility and independence.
Required Experience/Qualifications:
- Extensive experience developing mechanistic PK-PD and QSP models for decision-making in early and late-stage clinical development.
- Proven ability to lead interdisciplinary teams/taskforces.
- Oncology therapeutic area/disease knowledge.
- Experience with ADC/T-cell engager mechanistic modeling with immune-axis (preferred).
- Programming/modeling tools (e.g., MATLAB, R, SimBiology, Python).
- Experience working with external QSP vendors.
- Experience applying QSP modeling in IND/NDA and other global regulatory submissions.
- Strong written/verbal communication and interdisciplinary collaboration; ability to scope and plan problems.
Application:
- Apply via https://jobs.merck.com/us/en (or Workday Jobs Hub for current employees). Application deadline is stated on the posting.
- Lead and shape the QSP strategy across the oncology portfolio, aligning with program goals and organizational priorities.
- Lead, mentor, and develop a team of quantitative scientists in a matrixed role.
- Collaborate with QP2 Oncology, preclinical DMPK and modeling, biologists, clinicians, and other functions to apply mechanistic/QSP modeling for dose selection, combination strategies, and clinical trial design.
- Ensure high-quality, regulatory-grade QSP deliverables for internal decisions, submissions, and scientific advice meetings.
- Contribute to regulatory strategy via QSP reports, briefing documents, and presentations.
- Foster scientific rigor, collaboration, innovation, and develop best practices for QSP modeling.
- Partner with senior leaders in Translational Modeling, Discovery, and Clinical Development to define modeling strategies influencing program design and key decisions.
- Represent the company at conferences and external collaborations/consortia/working groups.
- Stay current on emerging QSP methodologies and promote innovation.
- Manage budget planning, QSP vendor identification, outsourcing, and contract requisitions.
Minimum Education Required:
- Ph.D. plus 10+ years pharmaceutical drug development experience (systems pharmacology/systems biology/PKPD/mathematics/chemical or biomedical engineering or related).
- OR Masters or PharmD plus 15+ years with increasing responsibility and independence.
Required Experience/Qualifications:
- Extensive experience developing mechanistic PK-PD and QSP models for decision-making in early and late-stage clinical development.
- Proven ability to lead interdisciplinary teams/taskforces.
- Oncology therapeutic area/disease knowledge.
- Experience with ADC/T-cell engager mechanistic modeling with immune-axis (preferred).
- Programming/modeling tools (e.g., MATLAB, R, SimBiology, Python).
- Experience working with external QSP vendors.
- Experience applying QSP modeling in IND/NDA and other global regulatory submissions.
- Strong written/verbal communication and interdisciplinary collaboration; ability to scope and plan problems.
Application:
- Apply via https://jobs.merck.com/us/en (or Workday Jobs Hub for current employees). Application deadline is stated on the posting.