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Senior Manager – QSP & Data Analytics
| Company | Sarepta |
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| Location | Cambridge, MA, USA |
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| Salary | $132000 – $165000 |
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| Type | Full-Time |
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| Degrees | PhD |
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| Experience Level | Senior |
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Requirements
- 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.
- 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).
- Excellent written and verbal communication skills with demonstrated ability to collaborate effectively in cross-functional teams.
Responsibilities
- 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.
Preferred Qualifications
- Familiarity with modern data analytics and AI/ML approaches to support model development and data analysis is a plus.
- Experience with pharmacometrics software (e.g., NONMEM, Monolix) is a plus.
