Senior Specialist, Quantitative Systems Pharmacology; QSP – Oncology
Listed on 2026-03-03
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Healthcare
Data Scientist, Clinical Research
We are seeking an experienced talented scientist to join the Quantitative Pharmacology and Pharmacometrics — Immu/Oncology (QP2-IO) team in the role of Senior Specialist, Quantitative Systems Pharmacology (QSP). The QP2-IO team is part of the Global Clinical Development organization and has oversight over drug development aspects related to clinical pharmacology, mechanistic PK‑PD modeling and pharmacometrics of oncology drugs from post‑PCC to registration.
The Senior Specialist within the QP2‑IO Group will work closely with teams of highly collaborative, cross‑functional scientists to contribute to the development of novel therapeutics.
- Serving as a QSP expert for QP2‑IO for developing and executing model‑based analyses including QSP models and mechanistic PK/PD models into programs thereby strengthening our quantitative capabilities on a continuous basis in decision making and driving pipeline impact.
- Bringing forward combination drug approaches by leveraging QSP models to design and prioritize combination clinical trials.
- Work in close collaboration with biologists, clinicians, clinical pharmacologists, pharmacometricians and other line functions to improve our understanding of disease mechanisms and modalities.
- Experience with QSP modeling in oncology for different modalities (small molecules, monoclonal antibodies, antibody drug conjugates, T‑cell engagers, bispecifics).
- Ph.D., or equivalent degree OR a Pharm
D or equivalent degree with at least two years of experience OR Masters or equivalent degree with four years of pharmaceutical or academic experience relating to systems biology/pharmacology, mechanistic PKPD, mathematics, chemical/biomedical engineering or related field.
- Experience in developing mechanistic PK‑PD models and QSP models for decision making in early and/or late‑stage clinical development.
- Experience with mechanistic modeling for antibody drug conjugates (ADCs), bispecifics, and/or T‑cell engagers will be preferred.
- Experience with modeling and simulation packages or programming languages (e.g., MATLAB/Sim Biology, QSP Designer, R).
- Hands on experience building, calibrating, and validating QSP models.
- Professional working proficiency in written and verbal communication.
Biopharmaceutics, Data Analysis, Data Modeling, Data Science, Data Visualization, Drug Development, Pharmacodynamics, Pharmacokinetics, Pharmacology, PKPD Modeling, Quantitative Biology, Simulation Models, Stakeholder Relationship Management, Systems Biology
Preferred SkillsAntibody Drug Conjugates (ADC), Clinical Development, Clinical Pharmacology, Pharmacometrics, T Cells
Remote position is only applicable for those not within commutable distance to primary sites noted in posting. If commutable, the position will be hybrid. Please note that standard commute is less than 50 miles.
U.S. Hybrid Work ModelEffective September 5, 2023, employees in office‑based positions in the U.S. will be working a Hybrid work consisting of three total days on‑site per week, Monday – Thursday, although the specific days may vary by site or organization, with Friday designated as a remote‑working day, unless business critical tasks require an on‑site presence. This Hybrid work model does not apply to, and daily in‑person attendance is required for, field‑based positions;
facility‑based, manufacturing‑based, or research‑based positions where the work to be performed is located at a Company site; positions covered by a collective‑bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance also does not apply to roles that have been designated as “remote”.
The salary range for this role is $ – $.
This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee’s position within the salary range will be based on several factors including, but not limited to relevant education, qualifications, certifications,…
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