
Description
Why Sarepta? Why Now?
The promise of genetic medicine has arrived, and Sarepta is at the forefront. We hold leadership positions in Duchenne muscular dystrophy (DMD) and limb-girdle muscular dystrophies (LGMDs), and we currently have more than 40 programs in various stages of development in gene therapy, RNA and gene editing. In 2023, we launched our fourth therapy and the first ever gene therapy to treat Duchenne.
We’re looking for people who see unlimited potential in themselves and who are motivated by an unwavering commitment to patients.
What Sarepta Offers
At Sarepta, we care deeply about all the people in our community and believe in the importance of supporting them in all aspects of their lives. We aspire to maintain a culture that acknowledges people bring their whole selves to work, and we will strive to help everyone in our community integrate their work and personal lives while maintaining productivity. We are committed to offering a range of benefits and work-life resources designed to support people in the following areas:
Physical and Emotional Wellness
Financial Wellness
Support for Caregivers
For a full list of our comprehensive benefits, see our website: https://www.sarepta.com/join-us
The Importance of the Role
Join us in shaping the future of drug development through innovative quantitative systems pharmacology (QSP) and advanced data analytics. As a Senior Manager of QSP & Data Analytics, you'll be at the forefront of applying mechanistic modeling to bridge preclinical insights and clinical outcomes. You'll develop and implement QSP models that integrate disease biology, drug mechanism of action, and patient variability to guide critical drug development decisions. The role provides quantitative support across the development spectrum - from translational strategies and early clinical development to product registration. You will also leverage modern data analytics and AI/ML approaches to extract insights from diverse biological and clinical data sources. Working with cross-functional teams, you will transform complex biological systems into mathematical frameworks to advance life-changing medicines.
The Opportunity to Make a Difference
Drive therapeutic program success by designing and developing mechanistic QSP models that reveal crucial insights about disease biology and drug-system interactions across therapeutic areas
Shape critical development decisions by applying QSP approaches to tackle challenging questions about dose selection, study design, and patient population targeting
Transform our understanding of drug behavior by integrating preclinical and clinical data through innovative model-based analyses that bridge the translational gap
Build confidence in model-based approaches by preparing clear, scientifically rigorous regulatory documentation and responses to health authority questions
Enhance our modeling capabilities by implementing cutting-edge data analytics, AI/ML solutions that complement and strengthen QSP strategies
Accelerate analysis workflows through development of automated tools and intuitive visualizations that communicate model insights effectively
Champion quantitative approaches by representing modeling analyses in cross-functional teams and translating technical results into actionable insights
Advance the field of QSP by contributing to scientific publications and presenting at key conferences
More about You
PhD in bioengineering, chemical engineering, biophysics, computational biology, mathematics, pharmacometrics, pharmaceutical sciences, or related disciplines that combine biological systems, mathematical modeling, and computational methods. 2+ years of experience working at the interface of quantitative sciences and drug development
Strong background in QSP modeling with demonstrated ability to translate mechanistic understanding of biological systems into mathematical frameworks, complemented by experience in data analytics and pharmacometrics approaches
Familiarity with modern data analytics and AI/ML approaches to support model development and data analysis is a plus
Strong programming experience in at least one language (Python, MATLAB, R, C, C++, etc.) including proficiency with numerical computation, data analysis, modeling, and visualization libraries (e.g., NumPy, SciPy, Pandas, dplyr, ggplot, SimBiology)
Experience with pharmacometrics software (e.g., NONMEM, Monolix) is a plus
Excellent written and verbal communication skills with demonstrated ability to collaborate effectively in cross-functional teams
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