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How much do pbpk modeling jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for pbpk modeling in Massachusetts is $44.05, according to ZipRecruiter salary data. Most workers in this role earn between $34.13 and $47.50 per hour, depending on experience, location, and employer.

What is a pbpk modeling?

A PBPK (Physiologically Based Pharmacokinetic) Modeling job involves developing mathematical models to predict the absorption, distribution, metabolism, and excretion (ADME) of drugs in the human body. Professionals in this role use computational tools to integrate physiological, biochemical, and drug-specific data to support drug development, dose optimization, and regulatory submissions. PBPK modelers work in pharmaceutical companies, regulatory agencies, and research institutions to improve drug safety and efficacy predictions. Strong expertise in pharmacokinetics, coding (e.g., MATLAB, R, Python), and data analysis is essential for this role.

What are the typical responsibilities and daily activities of someone working in pbpk modeling?

Professionals in PBPK Modeling are responsible for designing and validating physiologically-based pharmacokinetic models to predict the absorption, distribution, metabolism, and excretion of drugs in various populations. Daily activities often include gathering and analyzing experimental data, coding or customizing models using specialized software, and preparing technical reports or presentations for stakeholders. Collaboration with clinical pharmacologists, toxicologists, and regulatory teams is common, as modelers help inform study design and regulatory strategy. The role involves both independent research and teamwork, providing valuable insight throughout the drug development process.

What are the key skills and qualifications needed to thrive in the pbpk modeling position, and why are they important?

To thrive in PBPK Modeling, you need a strong background in pharmacokinetics, mathematics, and systems pharmacology, typically supported by an advanced degree in pharmacy, pharmacology, or a related field. Expertise in specialized software such as Simcyp, GastroPlus, or MATLAB, along with familiarity with regulatory guidelines, is important. Strong analytical skills, attention to detail, and effective communication abilities help you interpret data and present modeling results to multidisciplinary teams. These abilities ensure accurate predictive models that support drug development and regulatory submissions.

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What job categories do people searching Pbpk Modeling jobs in Massachusetts look for?

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What cities in Massachusetts are hiring for Pbpk Modeling jobs?

Cities in Massachusetts with the most Pbpk Modeling job openings:

Pbpk Modeling jobs near you
Infographic showing various Pbpk Modeling job openings in Massachusetts as of August 2026, with employment types broken down into 83% Full Time, 14% Part Time, and 3% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $91,624 per year, or $44 per hour.

Senior Director, QSP/ PBPK Modeling

Kiniksa Pharmaceuticals

Lexington, MA • On-site

Full-time

Re-posted 16 days ago

Job description

Kiniksa is seeking a highly experienced Senior Director of QSP/PBPK Modeling to lead the development and application of quantitative pharmacology models to support drug discovery and development programs. This role will be responsible for generating and implementing empirical and mechanistic pharmacology models to inform human pharmacokinetics (PK), pharmacodynamics (PD), dose selection, and overall clinical strategy, leveraging integrated non-clinical and clinical data.

The successful candidate will serve as a scientific and strategic leader, partnering crossfunctionally with Research, Translational Medicine, Clinical Pharmacology, Clinical Development, and Regulatory teams to ensure modelinformed decision making across the portfolio.

This is an excellent opportunity for candidates who work with a sense of urgency, enjoy distilling complexity into clarity, can effectively align inputs from different perspectives, and can think critically to synthesize information. Emphasis will be on prior drug development experience, good communication skills (verbal, written and non-verbal), problem-solving skills, and an adaptable growth mindset.

This role is based in our Lexington, MA office and requires employees to be onsite five days per week

Responsibilities (including, but not limited to):

  • Lead the design, development, validation, and application of pharmacology models, including empirical (nonlinear mixed effects, exposure-response) and mechanistic models (PBPK, QSP, systems PK/PD).
  • Integrate non-clinical PK/PD, efficacy, and biomarker data with emerging clinical PK/PD and biomarker data to inform human PK predictions, dose selection, and clinical trial design.
  • Provide quantitative support for firstinhuman (FIH), dose escalation, and proofofconcept studies.
  • Drive modelinformed drug development (MIDD) strategies across programs, influencing key development and portfolio decisions.
  • Partner closely with Clinical Pharmacology and Translational Medicine to ensure alignment between pharmacology modeling, bioanalytical strategies, and clinical endpoints.
  • Author and review modeling sections for INDs, IBs, clinical study reports, and regulatory briefing documents, and support regulatory interactions as a subject matter expert.
  • Ensure scientific rigor, documentation quality, and regulatory readiness of all modeling deliverables.
  • Evaluate and implement new modeling methodologies, platforms, and best practices consistent with industry and regulatory expectations.

Standout Skills for Impact:

  • Deep handson expertise in nonlinear mixedeffects modeling (e.g., population PK/PD, exposure-response), mechanistic PK/PD modeling (e.g., PBPK, TMDD, systems pharmacology) and translation of nonclinical PK/PD to human dose prediction using standard modeling software (e.g. Matlab / SimBiology, OSP Suite, Simcyp, Gastroplus, Monolix, R)
  • Ability to work in a highly collaborative environment
  • Strong sense of urgency and agility
  • Strong understanding of drug development, clinical trial design, and regulatory expectations related to pharmacology and pharmacometrics, experience contributing regulatory interactions related to modeling and simulation and proven experience applying modeling approaches to clinical decision making, particularly for earlystage development programs.

Qualifications and Experience:

  • Ph.D. in Pharmacology, Pharmaceutics, Pharmaceutical Sciences, Biomedical Engineering, Applied Mathematics, or a related quantitative discipline.
  • 10+ years of relevant experience in quantitative pharmacology, pharmacometrics, or systems pharmacology within biotech or pharmaceutical R&D, with demonstrated progression to scientific leadership roles.
  • Demonstrated ability to clearly communicate complex quantitative concepts to multidisciplinary, nonmodeling audiences.
 

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