Scientist, Quantitative Systems Pharmacology

BioSpace; Morristown (NJ); On-site; USD 120,000 - 160,000; Full time

Job summary

Sanofi Inc. in Morristown, NJ seeks a Scientist in Quantitative Systems Pharmacology to develop and apply multiscale models that support model-informed drug discovery and development.

You will work with internal and external collaborators to ensure modeling efforts meet project goals and you will communicate predictions to stakeholders. The ideal candidate has a PhD in systems pharmacology or a related field with post‑doctoral experience, or a Master’s with substantial industry experience, and

Qualifications

• PhD in systems pharmacology/biology or related field with postdoc experience.
• Masters with 4+ years of industry experience.
• Proficiency in mathematical modeling using differential equations.
• Experience with MATLAB, Julia and R.

Responsibilities

• Develop and apply multiscale computational models of diseases to support drug discovery and development.
• Survey literature to identify physiological processes and suitable model elements.
• Identify and analyze internal preclinical and clinical data for modeling.
• Analyze simulation results and propose strategies to improve model performance.
• Maintain documentation of model development and data analysis.
• Advance QSP expertise through ongoing education.
• Communicate modeling predictions to key stakeholders.

Skills

Mathematical modeling

MATLAB

Julia

R

Education

PhD in systems pharmacology/biology or related field

Master’s with industry experience

Job description

Job title: Scientist, Quantitative Systems Pharmacology

• Location: Morristown, NJ

About The Job

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.

Join the engine of Sanofis 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

Were an R&D‑driven, AI‑powered biopharma company committed to improving peoples 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 peoples 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 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 modelling/QSP. Masters 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

• 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 its 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.

Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affitaive 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. 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.