Associate Director Quantitative Data Modeling
Company: Sanofi
Location: Morristown
Posted on: January 19, 2026
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Job Description:
Job Title: Associate Director Quantitative Data Modeling
Location: Morristown, NJ 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.
The Quantitative Pharmacology (QP) organization at Sanofi is
dedicated to ensuring the safe and effective therapeutic treatment
of patients by applying sound pharmacokinetic (PK) and
pharmacodynamic (PD) principles to accelerate and optimize drug
development. Within QP, the Pharmacometrics group employs
Model-Informed Drug Discovery and Development (MIDD) approaches to
support decision making throughout the drug development continuum.
This includes guiding dose selection and study design, de-risking
potential drug–drug interactions, quantifying benefit–risk
relationships, and contributing to regulatory submissions and
interactions from first-in-human studies through life-cycle
management. This position, based in Morristown, NJ, requires the
successful candidate to be onsite three days per week. The
Associate Director will play a key role in advancing Sanofi’s
internal pipeline across multiple therapeutic areas by conducting a
broad spectrum of model-based analyses, spanning population PK and
PK/PD modeling, disease progression modeling, and advanced
methodologies such as data analytics, machine learning, and
mechanistic modeling. The incumbent will contribute to data-driven
decision making and the application of innovative modeling
strategies with minimal supervision. 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: Associate Director is expected to be equipped
with multifaceted quantitative expertise applied to drug
development including: Ability to formulate drug development
questions and develop modeling and simulation strategies for
optimizing model-informed drug development in all stages of
development, ranging from first in human dosing through life cycle
management. Conduct with minimal supervision model-based analyses
such as population pharmacokinetics (PPK), PK/PD, exposure
response, model-based meta-analysis, clinical trial simulations and
disease progression modeling to drive internal pipeline forward.
Conduct innovative quantitative methodologies such as data
analytics, machine learning and mechanistic modeling as needed.
About You Required Experiences Strong quantitative skills including
but not limited to mathematics, statistics, data science, AI/ML,
etc. Deep and extensive experience with advanced population
modeling approaches (e.g. PPK, PKPD, etc. ) and complex
methodologies such data analytic, AI/ML and mechanistic modeling.
Proficiency in conducting model-based analyses using standard
pharmacometrics software (e.g., NONMEM, R, Monolix, etc.)
Proficiency in integrating and analyzing internal and external data
to support decision making and to generate scientific insights.
Strong written and verbal communication skills, interdisciplinary
collaboration, problem scoping and planning. Good knowledge of
industry best practices, global regulatory, processes, standards of
drug development. Demonstrate the following scientific
competencies: Serve as M&S representative for clinical
development projects. Act as a subject matter expert addressing
technical and theoretical issues in the M&S area. Be able to
operate in a multicultural environment and participate in
international teams. Prepare and issue stand-alone M&S reports
with minimal review. Summarize documents for submission to
regulatory agencies, including but not limited to the FDA and EMA
Prepare abstracts, posters and manuscripts for external
presentation and/or publication. Present at external scientific
meetings as appropriate Identify skill-sets necessary to advance
career development. Ensure that all assigned project activities are
performed in compliance with current departmental SOP’s,
guidelines, industry best practices and regulatory guidelines, and
are conducted following acceptable scientific rationale.
Qualifications Ph.D. with or without post-doctoral experience in
pharmacometrics, biopharmaceutics, pharmaceutical sciences,
mathematics, statistics, data science, computational biology,
chemical/biomedical engineering, system pharmacology, computer
science or closely related discipline plus at least 5 years of
industrial experience with a record of increasing responsibility
and independence Technical expertise in several of the following
areas ranging from classic translational and population PK
modeling, PK/PD modeling, exposure-response modeling, clinical
trial simulation, drug-disease modeling, PBPK modeling, to advanced
complex methodologies such as data analytics, machine learning and
mechanistic modeling. Strong background in different M&S
software such as NONMEM, R, Monolix, Phoenix NLME, PUMAS, Matlab,
PKsim, SimCYP, SAS, Python, C/C++, Julia Excellent oral and written
communication skills and strong problem-solving skills 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 LI-SA LI-Onsite vhd 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.
Keywords: Sanofi, Newark , Associate Director Quantitative Data Modeling, Science, Research & Development , Morristown, New Jersey
