Alnylam Pharmaceuticals

Associate Director, Quantitative Systems Pharmacology

Alnylam Pharmaceuticals$175K — $237K *
Pharmaceuticals & Biotech
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Ph.D. in applied mathematics, biomedical engineering, systems biology, pharmacology, or related field.
  • 5+ years of experience in pharmaceutical industry, consulting, or regulatory agencies.
  • Proven track record of applying QSP modeling in drug development.
  • Strong understanding of systems biology, pharmacokinetics, and pharmacodynamics principles.
  • Hands-on experience with QSP modeling platforms (e.g., R, MATLAB).
  • Ability to effectively communicate QSP modeling outcomes to project teams.

Responsibilities

  • Strategize and execute QSP modeling to inform dose selection and trial design.
  • Collaborate with clinical pharmacologists and other R&D functions to interpret clinical data.
  • Develop QSP models to analyze disease pathways and treatment effects independently.
  • Mentor team members and lead advancements in QSP methodologies.
  • Enhance the visibility of QSP through publications and conference presentations.
  • Integrate QSP with other modeling strategies for comprehensive drug development insights.

Benefits

  • Comprehensive medical, dental, and vision coverage.
  • Life and disability insurance.
  • Lifestyle reimbursement program and flexible spending/health savings accounts.
  • 401(k) plan with generous company match.
  • Paid time off, wellness days, and holidays with two recharge breaks.
  • Generous family resources and leave policies.
Full Job Description
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.

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.

#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 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.

Learn more about these and additional benefits offered by Alnylam by visiting the Benefits section of the Careers website: https://www.alnylam.com/careers

About Alnylam Pharmaceuticals

Alnylam Pharmaceuticals is a biotechnology company that focuses on RNA interference (RNAi) therapeutics. The company's products are designed to silence specific genes that cause diseases. Alnylam's pipeline includes products for the treatment of genetic, cardio-metabolic, and hepatic infectious diseases. The company was founded in 2002 and is headquartered in Cambridge, Massachusetts.
Learn more about Alnylam Pharmaceuticals
Size
1,665 employees
Market Cap
$28.7 billion
Industry
Net Income
-$858.2 million
Founded
2002
5 Year Trend
+78.1%
Revenue
$492.8 million
NASDAQ

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