Principal Scientist, Quantitative Systems Pharmacology

Sanofi; Cambridge (MA); On-site; USD 180,000 - 240,000; Full time

Job summary

Sanofi in Cambridge, MA, seeks a Principal Scientist to lead Quantitative Systems Pharmacology modeling across programs. You will develop multiscale disease models, integrate data, and communicate predictions to stakeholders to inform drug discovery and development.

You will collaborate with biology, chemistry, and translational teams, apply machine learning and differential equation models, and contribute to strategy, methodological advances, and training of team members.

Qualifications

• PhD or Master's in systems pharmacology, biology, computational biology or related field.
• For PhD: 2+ years hands-on experience in disease/QSP modeling; academia considered.
• For Master’s: 4+ years in industry/pharma modeling.

Responsibilities

• Develop and apply multiscale computational models of diseases to support drug discovery and development.
• Survey literature to identify mechanistic elements, data, parameters, and assumptions.
• Identify and analyze preclinical and clinical data to inform modeling.
• Analyze simulation results and refine model performance and accuracy.
• Maintain comprehensive documentation of model development and data analysis.
• Communicate modeling predictions to stakeholders.

Skills

Mathematical modeling

Machine learning

Excellent communication

Collaborative teamwork

Independent researcher

Immuno-oncology knowledge

Pharmacometric modeling

QSP modeling

Education

PhD in related field

Master's in related field

Tools

MATLAB

Julia

R

Job description

Job Title: Principal Scientist, Quantitative Systems Pharmacology

• Location: Cambridge, MA

About the job:

We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people’s lives. We're also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Are you ready to shape the future of medicine? The race is on to speed up drug discovery and development to find answers for patients and their families.

Your skills could be critical in helping teams accelerate Progress. Join our Quantitative Systems Pharmacology (QSP) group as a Principal Scientist and you'll support our R&D portfolio with mechanistic disease modeling.

Join the engine of Sanofi’s mission - where deep immunoscience meets bold, AI-powered research. In R&D, you'll drive breakthroughs that could turn the impossible into possible for millions.

About Sanofi:

We're an R&D-driven, AI-powered biopharma company committed to improving people’s lives and delivering compelling growth. Our deep understanding of the immune system - and innovative pipeline - enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people’s lives.

Main Responsibilities:

• Function as part of a team to develop and apply multiscale computational models of complex diseases based on detailed biological mechanistic knowledge to support model-informed drug discovery & development.
• Survey literature to gain understanding of critical physiological processes to be represented, and identify suitable mechanistic elements, data, parameters and assumptions to be included.
• Identify and analyze suitable preclinical and clinical data to inform modeling activities.
• Analyze simulation results and identify appropriate strategies to resolve issues pertaining to model performance and accuracy.
• Maintain extensive documentation of model development process, and data analysis.
• Maintain quantitative systems pharmacology expertise through comprehensive education
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• Communicate modeling predictions to key stakeholders.

About you: Basic 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 2 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 degrees: Minimum 4 years of experience generating disease models, mechanistic/multiscale models or QSP models in industry/pharma setting.

Preferred Qualification:

• Proficiency in mathematical modeling using differential equations.
• Machine learning experience.
• Extensive experience in computational tools such as MATLAB, Julia and R (MATLAB preferred).
• Excellent oral and written communication skills.
• Ability to quickly learn pathophysiology in indications of interest.
• Highly motivated, detail-oriented, and independent researcher.
• Able to thrive in a collaborative, multi-disciplinary team environment.
• Strong commitment to on-the-job-training.
• Knowledge of Immuno-oncology or Neuroscience.
• Record of increasing responsibility and independence, developing and applying QSP approaches.
• Experience in drug discovery/development a plus, especially in pharmacometrics.

Why Choose Us?

• Make your work count by supporting a company that brings life-changing treatments to millions - and is committed to doing right by patients, communities, and the planet.
• Drive progress from within by helping simplify, scale, and modernize how a global biopharma business delivers smarter, faster, and more sustainably.
• Support teams across science, medicine, and operations by building better systems, shaping bold strategies, and enabling innovation at speed.
• Make an impact across borders and functions, collaborating with leaders to turn complex challenges into real-world solutions.
• Advance your career through stretch roles, cross-functional moves, and development opportunities designed to match your ambition.
• Thrive in inclusive, high-performing teams where every role matters and every voice helps shape what’s next.

Sanofi US Services and its U.S. affiliates are Equal Opportunity employers committed to a culturally inclusive workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.

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.