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The Director of Quantitative Systems Pharmacology (QSP) will lead the development and implementation of mechanistic knowledge of biology integrated into mathematical models that support drug ...

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How much do qsp quantitative jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for qsp quantitative in the United States is $50.48, according to ZipRecruiter salary data. Most workers in this role earn between $49.28 and $51.68 per hour, depending on experience, location, and employer.

What is a QSP Quantitative professional?

A QSP Quantitative professional specializes in Quantitative Systems Pharmacology (QSP), which combines mathematical modeling and computational techniques to understand and predict how drugs interact with biological systems. They use quantitative analysis to inform drug discovery, development, and regulatory decisions. QSP Quantitative experts often work in pharmaceutical companies or research institutions, collaborating with biologists, clinicians, and other scientists to optimize drug efficacy and safety. Their work helps translate complex biological data into actionable insights, improving the efficiency and success rate of drug development.

How does a QSP Quantitative professional typically collaborate with cross-functional teams in pharmaceutical development?

QSP Quantitative professionals often work closely with pharmacologists, clinicians, statisticians, and regulatory teams to develop and refine quantitative models that inform drug development decisions. Collaboration usually involves translating complex biological data into actionable insights, presenting model outcomes, and adapting models based on feedback from other disciplines. Open communication and a willingness to explain technical details to non-experts are key to ensuring that quantitative models effectively support project goals throughout different drug development stages.

What are the key skills and qualifications needed to thrive as a QSP Quantitative scientist, and why are they important?

To thrive as a QSP Quantitative Scientist, you need a solid background in pharmacometrics, mathematical modeling, and systems pharmacology, often supported by an advanced degree in pharmacology, mathematics, or a related field. Familiarity with modeling software such as MATLAB, NONMEM, or SimBiology, and experience with programming languages like R or Python, are typically required. Strong analytical thinking, problem-solving abilities, and clear communication skills help translate complex data into actionable insights for multidisciplinary teams. These skills are crucial for accurately predicting drug behavior, optimizing clinical trial designs, and supporting data-driven decision-making in pharmaceutical development.

What is the difference between Qsp Quantitative vs Data Analyst?

AspectQsp QuantitativeData Analyst
Required CredentialsDegree in finance, economics, or related fields; often certifications like CQFBachelor's degree in statistics, business, or related fields; certifications like CAP or Microsoft Excel proficiency
Work EnvironmentFinancial firms, hedge funds, investment banksCorporate, consulting, or tech companies
Industry UsagePrimarily in finance and tradingAcross various industries including marketing, healthcare, and finance
Common Search/ComparisonYesNo

Qsp Quantitative roles focus on developing complex financial models and strategies within finance firms, often requiring advanced quantitative skills and finance-specific certifications. Data Analysts work across multiple industries analyzing data to inform business decisions, typically with skills in statistics and data visualization. While both roles involve data analysis, Qsp Quantitative positions are more specialized in finance and quantitative modeling.

What are popular job titles related to Qsp Quantitative jobs?

For Qsp Quantitative jobs, the most frequently searched job titles are:

Infographic showing various Qsp Quantitative job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 82% Full Time, 16% Part Time, and 1% Contract. Highlights an 71% Physical, 5% Hybrid, and 24% Remote job distribution, with an average salary of $105,000 per year, or $50.5 per hour.

Quantitative Systems Pharmacology (QSP) Lead - Rare Disease Portfolio

Florham Park, NJ β€’ On-site

Shionogi Inc.
Pharmaceutical and Medicine ManufacturingΒ β€’Β 201 - 500 employees

$24.50 - $33.25/hr

Other

Re-posted 22 days ago


Key responsibilities

  • Design and implement an end-to-end QSP operating model, including standardized deliverables, timelines, quality gates, documentation, and decision packages.

  • Identify, prioritize, and translate high-impact QSP use cases into work plans that support key program decision points.

  • Develop and apply mechanistic or semi-mechanistic disease and drug models, including virtual patient simulations and in-silico trials, to inform development decisions.


Job description

Overview
The Quantitative Systems Pharmacology (QSP) Lead is responsible for establishing and operationalizing QSP to support development decisions in rare disease programs. This role serves as the scientific and strategic owner of QSP across high-priority programs, with responsibility for both building an end-to-end QSP operating model and delivering modeling outputs that inform clinical and development strategy.
The incumbent will design and implement the full QSP workflow-from intake and prioritization through model development, technical review, and integration into development decisions-while ensuring outputs are reproducible, reviewable, and aligned with program needs. The role requires a balance of hands-on modeling and scientific oversight, including the effective use and management of external modeling partners, while retaining full ownership of modeling strategy and outputs.
This position operates in a highly matrixed environment and partners closely with cross-functional stakeholders to translate quantitative insights into actionable development decisions. The role is focused on high-impact rare disease programs, particularly those requiring integration across biomarkers, disease progression, and regulatory considerations, and is expected to define a roadmap for scaling QSP capabilities over time.
Responsibilities
Duties and Responsibilities:
  • Design and implement an end-to-end QSP operating model, including standardized deliverables, timelines, quality gates, documentation, and decision packages that ensure modeling outputs are reproducible, reviewable, and actionable in governance forums.
  • Identify and prioritize high-impact QSP use cases aligned with key program decision points, translating modeling needs into focused work plans that maximize development impact.
  • Develop and apply mechanistic or semi-mechanistic disease and drug models (e.g., ODE-based frameworks), ensuring strong documentation, version control, and reproducibility.
  • Develop and apply mechanistic and semi-mechanistic QSP models, including virtual patient simulations and in silico trials, to inform dose selection, trial design, and risk assessment, ensuring strong documentation, reproducibility, and scientific rigor.
  • Generate QSP models, virtual patients, and in-silico trial simulations where appropriate and high-value, particularly in early capability build-out or critical decision moments. Balance hands-on modeling with strategic oversight, determining when to execute internally versus leverage external partners based on impact, timing, and complexity.
  • Identify, evaluate, and manage external QSP or disease-modeling vendors, including scope definition, deliverables, timelines, and quality oversight.
  • Retain full scientific and technical ownership of all externally generated outputs, ensuring alignment with internal assumptions, standards, and decision needs.
  • Use virtual patient approaches and in-silico trials to derisk development, explore dose and regimen options, and assess disease heterogeneity and scenario sensitivity.
  • Produce clear, decision-grade analysis packages explaining assumptions, limitations, sensitivity analyses, and implications for development and trial design.
  • Develop and deliver clear, decision-focused modeling outputs, including assumptions, limitations, and sensitivity analyses, and translate complex quantitative insights into actionable recommendations for cross-functional teams, senior leadership, and governance bodies.
  • Drive alignment on priorities, expectations, and delivery timelines in a matrix environment.
  • Partner closely with Clinical Development, Clinical Pharmacology/PMx, Biostatistics, Translational, Regulatory, and other functions to align on QSP priorities, expectations, and delivery timelines in a matrix environment.
  • Define a phased roadmap for scaling QSP capabilities over time, including recommendations for future hiring and optimal use of external partners.
  • Other duties as assigned.

Qualifications:
  • PhD in Biomedical Engineering, Systems Biology/Pharmacology, Applied Mathematics, Computational Biology, or a related quantitative discipline preferred.
  • 12+ years of experience in pharmaceutical/biotechnology development with a minimum of 3 years of QSP modeling
  • Demonstrated experience delivering QSP or mechanistic modeling to inform drug development decisions, including dose selection, trial design, and/or regulatory strategy.
  • Proven ability to operate in a matrix environment, integrating quantitative insights into cross-functional decision-making.
  • Strong expertise in QSP modeling frameworks (e.g., MATLAB, R, Julia, or Open Systems Pharmacology Suite), with strong emphasis on model development, validation, and reproducibility.
  • Rare disease experience preferred.

Other Requirements:
  • This position has significant managerial and decision-making authority.
  • Ability and willingness to travel approximately 25-35% of the year both domestically and internationally
  • Must live a commutable distance to our US Corporate Headquarters in Florham Park, NJ. Office presence required at least 50% of the time per month.

Additional Information:
The base salary range for this full-time position is $260,000 - $295,000. Individual pay is determined by several factors, which include but are not limited to: job-related skills, experience, and relevant education or training. The range does not include the comprehensive benefits, bonus, long-term incentive, applicable allowances, or any additional compensation that may be associated with this role.
EEO
Shionogi Inc. is an equal opportunity employer supporting individuals with disabilities and veterans. All qualified applicants will receive equal consideration for employment opportunities based on valid job requirements without regard to race, color, religion, sex (including pregnancy), marital status, national origin, age, ancestry, citizenship, disability, genetic information, status as a disabled veteran, a recently separated veteran, Active Duty Wartime or Campaign Badge Veterans, and Armed Forces Service Medal Veterans, or any other characteristic protected by applicable law. It is the policy of Shionogi Inc. to undertake affirmative action for protected veterans and individuals with disabilities in compliance with all federal, state, and local requirements to recruit a diverse pool of protected veteran and individuals with disabilities applicants and to ensure that our employment practices are, in fact, non-discriminatory.
If you are qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access this website to apply for a vacancy as a result of your disability. You can request accommodations by calling 973-307-3550 or by sending an email to ShionogiHR@shionogi.com.

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About Shionogi

Sourced by ZipRecruiter

Industry

Pharmaceutical and medicine manufacturing

Company size

201 - 500 Employees

Headquarters location

Florham Park, NJ, US

Year founded

2001