Director- Quotative Systems Pharmacology(QSP)

TEEMA; Blythewood (SC); On-site; USD 208,000 - 270,000; Full time

Benefits offered by this job

Medical insurance

401(k) retirement plan

Job summary

TEEMA is seeking a Director of Quotative Systems Pharmacology (QSP) in Blythewood, SC. This role leads mechanistic modeling efforts to inform drug discovery and development, translating biology into quantitative models for dose selection, populations, and combination strategies.

Applicants should hold a PhD/MD-PhD/PharmD in a quantitative discipline, with deep QSP expertise and a track record in model-informed drug discovery. Expect leadership across cross-functional teams.

Qualifications

• Deep knowledge of mathematical modeling concepts and numerical methods.
• Experience with ODEs/PDEs and parameter estimation/optimization.
• Ability to translate mechanistic insight into translational decision making.

Responsibilities

• Develop, implement, and apply QSP models to understand diseases and pathways.
• Lead preclinical and early clinical QSP development to optimize dose and strategy.
• Advocate for MIDD and present research at scientific conferences.
• Collaborate across teams to translate modeling insights into R&D decisions.

Skills

QSP modeling

Mechanistic modeling

Translational science

Statistical analysis

Education

PhD/MD-PhD/PharmD in quantitative field

Job description

Job Title: Director- Quotative Systems Pharmacology(QSP)

Job ID: 90475

Location: Blythewood, South Carolina

Overview: We are recruiting on behalf of a pharmaceutical client to fill a Director, Quantitative Systems Pharmacology (QSP) role — a scientific leadership role responsible for developing mechanistic knowledge of biology, integrated into mathematical models, to support drug discovery and clinical development. This role defines QSP strategy and collaborates across project teams to translate existing knowledge and data into actionable models that inform R&D decisions, including first-in-human translation, dose selection, candidate selection, target population selection, and combination strategies. If you bring deep quantitative modeling expertise and know how to translate mechanistic insight into R&D decisions that move programs forward — this role was built for you.

What you will be doing:

QSP Model Development & Application

• Develop, implement, and apply QSP models to understand diseases, their pathways, and their progressions
• Evaluate drug candidates and treatment modalities to predict their effects and optimize therapeutic strategies (e.g., selection of target tumor types and populations), and support clinical introduction including first-in-human dose selection
• Use and improve existing Neurology QSP platforms to gain insights into causal relationships between biological and drug-level responses, enhancing understanding of drug-target interactions and disease mechanisms; develop new QSP models and platforms as needed

Preclinical & Clinical Strategy

• Lead preclinical and early clinical QSP development strategy to support optimal dose selection with simulations based on mechanistic understanding to assess efficacy and safety
• Advocate for model-informed drug discovery and development (MIDD) approaches; provide scientific leadership, present research at scientific conferences, and integrate MIDD strategies into R&D programs to improve efficiency and decision-making

Cross-Functional Leadership & Data Analysis

• Foster collaboration across functional groups and promote the development of new modeling tools and methods; advance the adoption of QSP capabilities to improve the predictive power of these tools to support the design and optimization of drug combinations
• Manage the expectations and timelines of assigned modeling & simulation work for relevant project teams
• Use mathematical, computational, and statistical tools to analyze and interpret large, complex data sets to gain insights into the causal relationships between drug-target interactions and disease mechanisms
• Provide scientific/strategic expertise across multiple therapeutic areas to support decision-making in the conversion of discovery to clinical through the design, development, and execution of quantitative mechanistic models to support the translational process

What you must have:

• PhD, MD-PhD, and/or PharmD in Bioengineering, Systems Biology, Applied Mathematics, Computational Biology, Pharmacometrics, Chemical Engineering, Pharmaceutical Sciences, or a related quantitative discipline
• Deep knowledge of the principles and theoretical aspects of applied mathematical modeling, including numerical methods, ordinary differential equations (ODEs), partial differential equations (PDEs), and parameter estimation/optimization, and how these tools apply to the development of complex biochemical models
• Deep expertise in quantitative systems pharmacology (QSP), mechanistic modeling, systems biology, and translational science
• Demonstrated experience applying QSP approaches to support drug discovery and/or clinical development programs with measurable program impact
• Strong understanding of pharmacology, physiology, immunology, molecular biology, and disease mechanisms
• Ability to learn quickly in new areas of biology and apply a solid foundation of quantitative skills to build mechanistically sound QSP models

Salary/Rate Range: $208,000 – $270,000 base salary, commensurate with experience and qualifications, plus 25% annual bonus target and $30,000 long-term incentive (LTI).

Other Information:

Benefits

• Medical and dental insurance
• Vision insurance with prescription drug coverage
• 401(k) retirement plan with company match
• Paid vacation time
• Sick days
• Holiday pay
• Annual bonus and long-term incentive (LTI) for eligible roles