Associate Director, Quantitative Systems Pharmacology

Alnylam Pharmaceuticals; Cambridge (MA); On-site; USD 180,000 - 240,000; Full time

Job summary

Scorpion Therapeutics is seeking an Associate Director of Quantitative Systems Pharmacology to support a portfolio of RNAi therapeutics. The role applies systems pharmacology, clinical pharmacology, PK/PD, and data analysis to answer drug development questions across all stages.

You will lead QSP modeling efforts, partner with pharmacology and modeling teams, and mentor others while publishing and presenting findings to advance development decisions.

Qualifications

• Ph.D. (or equivalent) in a quantitative field such as applied mathematics, biomedical engineering, systems biology/pharmacology.
• Minimum 5+ years in the pharmaceutical industry, consulting, or regulatory setting.
• Proven track record using QSP modeling to influence drug development decisions.

Responsibilities

• Strategize, formulate, and execute QSP modeling and simulation for dose selection and trial design.
• Partner with clinical pharmacologists and modelers to interpret data and guide QSP model building/refinement.
• Build and interpret QSP models to understand disease pathways and treatment effects.
• Analyze, interpret, and report results for internal decisions.
• Stay current on QSP methodologies; act as a technical leader and mentor.
• Increase visibility through publications and scientific presentations.

Skills

QSP modeling

Systems biology

PK/PD

Differential equations

Parameter estimation

Statistical analysis

Communication

Education

Ph.D. in applied mathematics, biomedical engineering, systems biology/pharmacology

Tools

R

MATLAB

SimBiology

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.