Associate Director, Quantitative Systems Pharmacology

Associate Director, Quantitative Systems Pharmacology   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.

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.

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. #LI-AB1 #LI-Hybrid    U.S. Pay Range $175,800.00 - $237,800.00 The pay range 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