Associate Director, Quantitative Systems Pharmacology

Alnylam Pharmaceuticals, Inc.; Cambridge, Northern (MA, KY); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Alnylam Pharmaceuticals, Inc. seeks an Associate Director, Quantitative Systems Pharmacology in Cambridge, MA. The role leads QSP modeling across an RNAi portfolio, evaluating PK/PD and translating complex data into actionable insights.

The candidate will mentor teammates, stay at the forefront of QSP methods, and contribute to publications and scientific meetings while working in a highly matrixed environment.

Qualifications

• PhD (or equivalent) in applied mathematics, biomedical engineering, systems biology/pharmacology or related discipline.
• At least 5 years of experience in pharmaceutical industry, consulting, or regulatory agency.
• Track record of application of QSP modeling to impact drug development decisions.

Responsibilities

• Strategize, formulate and execute QSP modeling and simulation for dose selection, trial design, and disease pathways.
• Partner with clinical pharmacologists, pharmacometricians, and R&D functions to interpret data for QSP models.
• Build and utilize QSP models to understand disease pathways and treatment effects; report results for decision making.
• Stay informed on advances in QSP modeling and mentor team members.
• Publish and present QSP work to increase visibility and impact.
• Explore synergy between QSP and other modeling approaches to inform development decisions.

Skills

QSP modeling

data analysis

communication skills

multi-tasking

Education

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

Tools

R

MATLAB

Simbiology

Job description

Associate Director, Quantitative Systems Pharmacology

Cambridge, MA

Overview

The Associate Director, Quantitative Systems Pharmacology (QSP) will support a rapidly expanding clinical portfolio of promising RNAi therapeutics. The candidate in this position should be well versed in systems pharmacology, clinical pharmacology, PK and PD with ability to critically evaluate and interpret data and conduct data analysis. In this role, the candidate is expected to show a high degree of scientific curiosity and critical thinking ability with good oral and written communication skills, ability to work independently with minimal supervision in a highly matrixed environment. The Associate Director, QSP will champion the application of QSP modeling and simulation approaches to answer key drug development questions across the portfolio spanning all stages of drug development.

Key Responsibilities

• With minimal supervision, strategize, formulate and execute QSP modeling and simulation approaches for insights into dose selection, trial design, mechanistic understanding of the interaction between disease, biomarker and treatment response, predicting clinical outcomes etc.


• Closely partner with clinical pharmacologist, pharmacometricians, research, clinical, non clinical modelers and other relevant R&D functions. Work closely with research and clinical functions to identify and interpret preclinical and clinical data to guide in data generation relevant for building and refining QSP models.


• Build and utilize QSP models of biological or pathophysiological process to understand the disease pathways and effect of treatment intervention. Independently analyzes, interprets, and reports QSP modeling results for internal decision making.


• Stay informed about advancement in QSP modeling methodologies. Be a technical leader within the group and mentor team members.


• Establish and advance visibility and impact of QSP modeling internally and externally through publications in peer reviewed journals and presentations at scientific meetings.


• Explore synergy between QSP and other modeling approaches to inform drug development decisions.

Qualifications

• Candidates with a Ph.D (or equivalent) degree in applied mathematics, biomedical engineering, systems biology/pharmacology or related discipline.


• At least 5 years of experience in pharmaceutical industry, consulting, or regulatory agency.


• Track record of application of QSP modeling to impact drug development decisions.


• Good understanding of systems biology, physiology, pharmacokinetics and pharmacodynamic principles. Strong foundation of theory, principles and statistical aspects of modeling and simulation including differential equation based modeling and parameter estimation/optimization approaches.


• Extensive hands on experience with common QSP modeling platforms such as R, MATLAB, Simbiology etc.


• Experience in translating and summarizing QSP modeling outcomes into information understood by project teams.


• Open minded, receptive to input and a strong team player.


• Self-driven, able to multi-task and manage time-sensitive deliverables.


• Strong interpersonal skills with ability to collaborate and work in a matrix environment.


• Strong written and oral presentation skills.

About Alnylam

We are the leader in RNAi therapeutics– a revolutionaryapproach with the potential to transform the lives of people with rare and common diseases. Built on Nobel Prize-winning science, Alnylam has delivered the breakthroughs that made RNAi therapeutics possibleand are just at the beginning of what’s possible. Our deep pipeline, late-stage programs, and bold vision reflect our core values: fierce innovation, passion for excellence, purposeful urgency, open culture and commitment to people. We're proud to be a globally recognized top employer, wherean authentic, inclusive culture and breakthrough thinkingfuel one another.

At Alnylam, we commit to an inclusive recruitment process and equal employment opportunity. Qualified applicants will receive consideration for employment without regard to their sex, gender or gender identity, sexual orientation, race, color, ethnicity, national origin, ancestry, citizenship, religion, creed, physical or mental disability, pregnancy status or related conditions, genetic information, veteran or military status, marital or familial status, political affiliation, age, or any other factor protected by federal, state, or local law. Alnylam is an E-Verify Employer.

The pay range below reflects the full-time base salary range we expect to pay for this role at the time of posting. Base pay will be determined based on a number of factors including, but not limited to, relevant experience, skills, and education. This role is eligible for an annual short-term incentive award (e.g., bonus or sales incentive) and an annual long-term incentive award (e.g., equity).

Alnylam’s robust Total Rewards package is designed to support your overall health and well-being. We offer comprehensive benefits including medical, dental, and vision coverage, life and disability insurance, a lifestyle reimbursement program, flexible spending and health savings accounts and a 401(k)with a generous company match. Eligible employees enjoy paid time off, wellness days, holidays, and two company-wide recharge breaks. We also offer generous family resources and leave. Our commitment to your well-being reflects our belief that caring for our people fuels the impact we create together.