Job title: Modeling Scientist
About the jobThe Translational Disease Modeling (TDM) group at Sanofi is seeking to hire a highly talented modeling scientist to support its portfolio in R&D. Modeling and simulation (M&S) plays an important role in drug development at Sanofi. This position is for a modeling scientist, with emphasis on mechanistic modeling or Quantitative Systems Pharmacology (QSP) approaches. The position will be based in Cambridge, MA.
Position Objectives:
- Develop computational systems models to enhance the understanding of disease mechanisms and to guide therapeutic intervention strategies.
- Identify and leverage relevant preclinical and clinical data to incorporate into models.
- Communicate modeling predictions to key stakeholders.
Main Responsibilities:- Function as part of a team to develop and implement multiscale computational models of complex diseases based on detailed biological mechanistic knowledge.
- Survey literature to gain understanding of critical physiological processes to be represented, and identify suitable mechanistic elements, data, parameters and assumptions to be included.
- Analyze internal preclinical and clinical data to inform modeling activities.
- Contribute to the computational infrastructure of the TDM group.
- Assess the functionality, efficiency and validity of new models.
- Analyze simulation results and identify suitable strategies to resolve issues pertaining to model performance and accuracy.
- Communicate technical material to internal and external audiences.
- Maintain extensive documentation of model development process, and data analysis.
- Maintain quantitative systems pharmacology expertise through comprehensive education including attendance and participation in conferences, scientific workshops etc.
About youBasic Qualifications:
- PhD or Master's degree in systems pharmacology, biology, computational biology, systems biology, biomedical engineering, or a related field.
- For candidates with PhD degrees: Minimum 1 years of hands-on experience generating disease models, mechanistic/multiscale models or QSP models. Academic research experience, internships and post-doctoral fellows will be considered.
- For candidates with Master's degrees: Minimum 4 years of experience generating disease models, mechanistic/multiscale models or QSP models in industry/pharma setting.
Preferred Qualifications:
- Track record of productivity in mechanistic or QSP modeling as evident with publications.
- Machine learning experience.
- Proficiency in mathematical modeling using differential equations and programming as demonstrated by hands-on experience in a variety of computational tools such as MATLAB, Julia and R (MATLAB preferred).
- Knowledge of Immuno-oncology or Neuroscience.
- Experience in drug discovery/development a plus, especially in quantitative aspects such as bioinformatics or pharmacometrics.
Why choose us?- Bring the miracles of science to life alongside a supportive, future-focused team.
- Discover endless opportunities to grow your talent and drive your career, whether it's through a promotion or lateral move, at home or internationally.
- Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.
- Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks' gender-neutral parental leave.
- Be part of a pioneering biopharma company that engages patients early in drug development and uses their insights to design studies that reflect real-world needs.
- Help improve the lives of millions of people globally by making drug development quicker and more effective.
- Work at the forefront of drug discovery, harnessing cutting-edge AI, data, and digital platforms to push the boundaries of science.
The salary range for this position is:
$100.500,00 - $145.166,66
All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs, and additional benefits information can be found here.
