Scientist, Quantitative Systems Pharmacology

About the role

The Quantitative Systems Pharmacology (QSP) group of Sanofi is seeking to hire a highly talented modeling scientist to support its portfolio in early clinical development. The QSP group is part of Translational Informatics department within the Translational Medicine and Early Development organization of Sanofi. The individual will primarily be involved with hands-on quantitative systems pharmacology modeling activities, and he/she will be responsible to work with internal and external collaborators to ensure alignment with the strategic needs of the project team. The position will be based in Morristown, NJ.

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 internal 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.
• Communicate modeling predictions to key stakeholders.

About You

• PhD in systems pharmacology/biology, computational biology, biomedical engineering, or a related field with a strong record of productivity demonstrated through publications and scientific presentations with at least 2 years of Postdoctoral experience in disease modeling/QSP. Master’s degree with 4+ years of relevant industry experience.
• Proficiency in mathematical modeling using differential equations.
• Extensive experience in computational tools such as MATLAB, Julia and R (MATLAB preferred).

Desirable Qualifications

• Experience in drug discovery/development a plus, especially in bioinformatics or pharmacometrics.
• Knowledge of Immunology.

Soft Skills

• Excellent oral and written communication skills.
• Ability to quickly learn pathophysiology in indications of interest, and treatment approaches in immunology.
• Highly motivated, detail-oriented, and independent researcher.
• Able to thrive in a collaborative, multi-disciplinary team environment.
• Strong commitment to on-the-job-training.

Why Choose Us

• Pursue Progress. Discover Extraordinary.
• Expand your horizons. Grow through curiosity, with support to move, learn, and lead in a culture that champions mentorship, mobility, and bold development.
• Accelerate results with technology. Harness the power of AI and automation to push scientific boundaries and reimagine what's possible in drug discovery.
• Impact through inclusive innovation. Help deliver better science and fairer outcomes by driving inclusive research that reaches more people, in more meaningful ways.
• Turn patient needs into breakthrough science. Drive scientific breakthroughs that start with patient needs – and end in treatments that change lives.

Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse 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.