Associate Director, QSP Modelling

GlaxoSmithKline; Waltham (MA); On-site; USD 158,000 - 263,000; Full time

Benefits offered by this job

Annual bonus

Health benefits

Retirement plan

Paid time off

Job summary

GlaxoSmithKline in Cambridge, MA or Upper Providence, PA is seeking an Associate Director of Quantitative Systems Pharmacology to develop and apply QSP models, inform target prioritization, and guide translational decisions. You will lead disease-area QSP efforts, partner with biologists, clinicians, and modelers, and advance mechanistic understanding of drug disposition to deliver molecules into clinic.

The role requires a PhD and 2+ years in pharma, strong modeling skills, and experience with

Qualifications

• PhD in applied math, engineering, pharma sciences, systems biology or related with modeling skills.
• 2+ years in pharma/biomedical industry applying QSP to discovery or development.
• Strong background in mathematical modeling, statistics, ODEs and parameter estimation.

Responsibilities

• Build and use QSP models to evaluate diseases, pathways, progression and drug candidates.
• Collaborate with biologists, clinicians, QSP modelers to inform programs and disease mechanisms.
• Serve as disease-area QSP lead with expertise in pathophysiology, biomarkers and endpoints.
• Act as QSP modeling and simulation contact on project teams to support preclinical study design and interpretation.
• Develop and apply mathematical tools to study causal relations in system-level and drug-level responses.
• Analyze complex data in context of disease mechanisms and pathways.
• Explore combining QSP with other analytical approaches and collaborate with genomics/AI groups.
• Perform rigorous verification and validation of QSP models and methodologies.

Skills

Quantitative modeling

QSP

Biostatistics

Python

MATLAB

C/C++

Data analysis

Cross-functional collaboration

Education

PhD in Applied Mathematics / related

Tools

MATLAB

SimBiology

Julia

Python

C/C++

Job description

Job Title: Associate Director, Quantitative Systems Pharmacology

Location: Upper Providence, PA or Cambridge, MA

At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. Our R&D focuses on discovering and delivering vaccines and medicines, combining our understanding of the immune system with cutting‑edge technology to transform people's lives. GSK fosters a culture ambitious for patients, accountable for impact, and committed to doing the right thing, making sure that we focus our efforts on accelerating significant assets that meet patients' needs and have the highest probability of success. We're uniting science, technology, and talent to get ahead of disease together.

Find out more:
Our approach to R&D

We are seeking an Associate Director level, Quantitative Systems Pharmacology Disease Lead for our Drug Metabolism and Pharmacokinetics (DMPK) department.

Quantitative Systems Pharmacology (QSP) is a discipline that uses quantitative and mechanistic mathematical disease models to enhance the robustness and quality of decision‑making from early research through clinical development. DMPK is a science‑driven organization that drives the translational understanding of drug disposition and quantitative pharmacology to deliver transformational medicines with our partners.

We are seeking a highly motivated individual to develop and apply QSP models within discovery to aid in the prioritization, selection, understanding, and optimization of promising treatments for a variety of diseases and therapeutic areas. The successful candidate will be responsible for integrating data and knowledge in a highly collaborative and multi‑disciplinary environment to develop a deeper understanding of physiological systems and disease mechanisms with the goal of influencing target prioritization, modality evaluation, and delivering molecules with transformational potential into the clinic.

Role Responsibilities:

This role will provide YOU the opportunity to lead key activities to progress YOUR career, these responsibilities include some of the following.

• Build and utilize QSP models of biological, physiological, and pathophysiological processes to evaluate a disease, its pathways and progression, as well as drug candidates and treatment modalities
• Work in close collaboration with biologists, clinicians, clinical pharmacologists, QSP and nonclinical modelers, and other partner line colleagues to inform research programs and improve our understanding of disease mechanisms
• Serve as a disease‑area QSP lead, possessing or developing expertise in disease pathophysiology, biomarkers, clinical endpoints, as well as in key experimental methodologies and data
• Serve as QSP modeling & simulation point‑of‑contact on project teams to solve challenging problems in drug research; contribute to preclinical study design and mechanistic interpretation of data
• Develop and/or utilize state‑of‑the‑art mathematical tools to gain insight into causal relationships between individual components of system‑level and drug‑level responses of drug‑target‑biomarker‑disease‑patient interaction
• Analyze and interpret complex data sets in the context of disease mechanisms and pathways
• Explore new opportunities to combine QSP with other analytical approaches and build synergies through collaboration with computational groups working in areas related to human genetics, functional genomics, and AI/ML
• Perform scientific rigor and biological suitability assessment of QSP models and methodologies through applying a context‑driven verification & validation process (reviewing QSP model goals, assumptions, methodology, model code, model outputs, uncertainty quantification)

Basic Qualifications:

We are looking for professionals with these required skills to achieve our goals:

• PhD in Applied Mathematics, Engineering, Pharmaceutical Sciences, Systems Biology, or related disciplines with experience in the application of mathematical and statistical methods
• 2 or more years of experience in Pharma Life Science Biomedical industry developing and applying QSP approaches to drug discovery or development programs
• Experience working with the theory, principles, statistical aspects of mathematical modeling and simulation, including numerical methods, parameter estimation/optimization, ordinary differential equations (ODEs), and how these can be applied in the development of complex models of biological pathways and systems
• Computational experience with one or more modeling and simulation packages or programming languages (e.g., MATLAB, SimBiology, Julia, Python, C/C++)

Preferred Qualifications:

If you have the following characteristics, it would be a plus:

• Solid biological understanding of immunology and previous experience in applying mechanistic modeling to metabolic, inflammatory, or fibrotic diseases
• Experience summarizing, condensing, and translating outcomes of modeling and simulation analyses into knowledge and insights that can be clearly understood by project teams
• Experience working with Large Language Models (LLMs) and Agentic AI (e.g., tool use and multi‑agent orchestration)
• Demonstrated collaborative ways of working and ability to work successfully in matrix teams
• Ability to effectively communicate and interact with key stakeholders, medical professionals and senior leadership
• Ability to learn new areas of biological sciences and build on solid foundation of quantitative skills
• Experience with the application of scientific machine learning (SciML) approaches to mechanistic modeling
• Experience integrating omics and/or other multi‑modal data with mechanistic models

#LI-GSK

Skills

Artificial Intelligence (AI), Computational Sciences, Computer Programming, Data Analysis, Data Management, Data Modeling, Data Science, Predictive Modeling, Statistical Models*

If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $157,575 to $262,625. The US salary ranges take into account a number of factors including work location within the US market, the candidate's skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process.

Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees.

Why GSK?

Uniting science, technology and talent to get ahead of disease together.

GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases - to impact health at scale.

People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.

If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at [e-mail]

GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.