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How much do systems pharmacology jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for systems pharmacology in the United States is $28.39, according to ZipRecruiter salary data. Most workers in this role earn between $22.60 and $32.21 per hour, depending on experience, location, and employer.

What is systems pharmacology?

Systems pharmacology is an interdisciplinary field that combines pharmacology, systems biology, and computational modeling to understand how drugs affect biological systems as a whole. Instead of focusing on single drug targets, systems pharmacology analyzes the complex interactions between drugs, genes, proteins, and metabolic pathways. This approach helps researchers predict drug effects, side effects, and potential new uses for existing medicines. It is increasingly used in drug discovery and personalized medicine to develop safer and more effective therapies.

How does a systems pharmacologist typically collaborate with interdisciplinary teams in pharmaceutical research?

Systems pharmacologists frequently work alongside biologists, chemists, data scientists, and clinicians to integrate diverse data and develop predictive models of drug action. Collaboration often involves translating complex biological interactions into computational models, sharing insights from data analysis, and jointly designing experiments to validate model predictions. Effective communication and teamwork are essential, as systems pharmacology sits at the intersection of multiple scientific disciplines, making cross-functional collaboration a daily part of the role.

What are the key skills and qualifications needed to thrive in systems pharmacology, and why are they important?

To excel in Systems Pharmacology, a strong background in pharmacology, computational biology, and quantitative modeling is essential, typically supported by advanced degrees in relevant fields. Knowledge of programming languages (such as Python, R, or MATLAB), bioinformatics tools, and familiarity with systems biology software are commonly required. Critical thinking, interdisciplinary collaboration, and effective communication are vital soft skills for integrating diverse data and working with cross-functional teams. These skills enable professionals to model complex biological systems, predict drug responses, and advance innovative therapeutic strategies.

What is the difference between Systems Pharmacology vs Pharmacometrician?

AspectSystems PharmacologyPharmacometrician
Required credentialsPhD in Pharmacology, Systems Biology, or related fieldsPhD or Master’s in Pharmacology, Biostatistics, or related fields
Work environmentResearch labs, pharmaceutical companies, academiaPharmaceutical industry, biotech firms, research institutions
Industry usageDrug development, systems modeling, biological pathway analysisPK/PD modeling, dose optimization, clinical trial analysis

Systems Pharmacology focuses on understanding drug actions through biological systems modeling, while Pharmacometricians specialize in quantitative analysis of pharmacokinetics and pharmacodynamics data. Both roles are essential in drug development but differ in their methods and focus areas.

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What job categories do people searching Systems Pharmacology jobs look for?

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Systems Pharmacology jobs near you
Infographic showing various Systems Pharmacology job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 9% Part Time, 4% Contract, and 1% Nights. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $59,052 per year, or $28.4 per hour.

Associate Director, Quantitative Systems Pharmacology

Scorpion Therapeutics

Cambridge, MA • On-site

$180 - $240/hr

Other

Posted 5 days ago

Job description

Overview:

The Associate Director, Quantitative Systems Pharmacology (QSP) supports a clinical portfolio of RNAi therapeutics. The role applies systems pharmacology, clinical pharmacology, PK/PD, and data analysis to answer drug development questions across all stages.

Key Responsibilities:
  • Strategize, formulate, and execute QSP modeling and simulation for dose selection, trial design, mechanistic understanding (disease–biomarker–response), and prediction of clinical outcomes.
  • Partner with clinical pharmacologists, pharmacometricians, and research/clinical/nonclinical modelers to identify and interpret preclinical and clinical data and guide data generation for QSP model building/refinement.
  • Build and utilize QSP models to understand disease pathways and treatment effects; independently analyze, interpret, and report results for internal decisions.
  • Stay current on QSP methodologies; serve as a technical leader and mentor team members.
  • Increase internal/external visibility through peer-reviewed publications and scientific presentations.
  • Explore synergy between QSP and other modeling approaches to inform development decisions.
Qualifications:
  • Ph.D. (or equivalent) in applied mathematics, biomedical engineering, systems biology/pharmacology, or related field.
  • 5+ years in pharmaceutical industry, consulting, or regulatory agency.
  • Track record using QSP modeling to impact drug development decisions.
Required/Preferred Skills:
  • Strong systems biology/physiology/PK/PD knowledge; foundation in theory, statistics, differential equation-based modeling, and parameter estimation/optimization.
  • Extensive hands-on QSP modeling experience (e.g., R, MATLAB, Simbiology).
  • Ability to translate QSP outcomes for project teams; strong collaboration, interpersonal, and written/oral communication skills.
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