Associate Director, QSP — Modeling & Dose Strategy

Alnylam Pharmaceuticals; Cambridge (MA); On-site; USD 176,000 - 238,000; Full time

Job summary

Alnylam Pharmaceuticals in Cambridge, MA is seeking an Associate Director, Quantitative Systems Pharmacology to advance a growing portfolio of RNAi therapeutics. You will lead QSP modeling, collaborate with clinical pharmacology and pharmacometrics, and translate complex data into actionable project decisions.

Applicants should have a Ph.D. and 5+ years in pharma, strong modeling skills, and a track record of influencing drug development through simulations.

Qualifications

• Ph.D. in a quantitative field related to pharmacology or systems biology.
• 5+ years in pharma, consulting, or regulatory environment.
• Proven track record applying QSP to drug development decisions.
• Strong theory, modeling, and statistical fundamentals for differential equations.
• Experience using R, MATLAB, SimBiology for QSP modeling.
• Able to communicate complex results to diverse teams.

Responsibilities

• Strategize, formulate and execute QSP modeling for dose, trial design and outcomes.
• Partner with clinical pharmacology, pharmacometrics, and R&D teams to align data needs.
• Build and interpret QSP models to support decision making.
• Stay current with QSP methodologies and mentor team members.
• Increase visibility via publications and scientific presentations.
• Explore synergy between QSP and other modeling approaches.

Skills

QSP modeling

Pharmacometricians collaboration

Data analysis

Communications

Mentoring

Cross-functional teamwork

Education

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

Tools

R

MATLAB

Simbiology

Job description

Alnylam Pharmaceuticals in Cambridge, MA is seeking an Associate Director, Quantitative Systems Pharmacology to advance a growing portfolio of RNAi therapeutics. You will lead QSP modeling, collaborate with clinical pharmacology and pharmacometrics, and translate complex data into actionable project decisions.

Applicants should have a Ph.D. and 5+ years in pharma, strong modeling skills, and a track record of influencing drug development through simulations.