Principal Scientist Quantitative Systems Pharmacology (QSP)

Job title: Principal Scientist Quantitative Systems Pharmacology (QSP)

Location: Cambridge, MA or Morristown, PA

About The Job

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 our 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 to generate robust pipelines for multiple disease states.

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. Ready to get started?

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 including attendance and participation in conferences, scientific workshops etc.
• Communicate modeling predictions to key stakeholders.
  
  

About You

• PhD with an excellent track record of productivity in the areas of systems pharmacology/biology, computational biology, biomedical engineering or related field, as manifested by publications and scientific presentations in conferences
• At least 2 years of Post-doctoral experience in disease modeling/QSP
• Proficiency in mathematical modeling using differential equations.
• Extensive experience in computational tools such as MATLAB, Julia and R (MATLAB preferred).
• Experience in drug discovery/development a plus, especially in bioinformatics or pharmacometrics.
• Knowledge of Immunology or Neuroscience is preferred
• 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 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.
  
  

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.

#GD-SA

#vhd