Associate Director, QSP Modeling - Lead RNAi Drug Design

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

Benefits offered by this job

Medical, dental, vision coverage

401(k) with company match

Paid time off

Job summary

Alnylam Pharmaceuticals is seeking an Associate Director of Quantitative Systems Pharmacology (QSP) to lead modeling efforts across a growing RNAi portfolio. The role requires deep expertise in systems pharmacology, PK/PD, and data analysis, with strong communication and independent work capabilities in a matrix environment.

The position emphasizes championing QSP approaches, mentoring teammates, and contributing to publications and scientific meetings, while driving key drug development

Qualifications

• PhD or equivalent in a relevant field (e.g., applied mathematics, biomedical engineering, systems biology/pharmacology).
• 5+ years in pharma, consulting, or regulatory environment.
• Proven track record applying QSP modeling to drug development decisions.
• Strong foundation in systems biology, physiology, PK/PD, and modeling/simulation principles.

Responsibilities

• Strategize, formulate and execute QSP modeling for dose selection and trial design.
• Collaborate with clinical pharmacology, pharmacometrics, research, and other R&D functions.
• Build and interpret QSP models to inform internal decisions.
• Mentor team members and advance QSP methodologies.
• Publish and present QSP findings to raise visibility and impact.

Skills

PhD experience

QSP modeling

Data analysis

Oral & written communication

Independent work

Scientific curiosity

Education

PhD in applied mathematics / systems biology / pharmacology

Tools

R

MATLAB

SimBiology

Job description

Alnylam Pharmaceuticals is seeking an Associate Director of Quantitative Systems Pharmacology (QSP) to lead modeling efforts across a growing RNAi portfolio. The role requires deep expertise in systems pharmacology, PK/PD, and data analysis, with strong communication and independent work capabilities in a matrix environment.

The position emphasizes championing QSP approaches, mentoring teammates, and contributing to publications and scientific meetings, while driving key drug development